WO2024153181A1 - 控制空调系统中的压缩机的方法和装置 - Google Patents

控制空调系统中的压缩机的方法和装置 Download PDF

Info

Publication number
WO2024153181A1
WO2024153181A1 PCT/CN2024/073001 CN2024073001W WO2024153181A1 WO 2024153181 A1 WO2024153181 A1 WO 2024153181A1 CN 2024073001 W CN2024073001 W CN 2024073001W WO 2024153181 A1 WO2024153181 A1 WO 2024153181A1
Authority
WO
WIPO (PCT)
Prior art keywords
compressor
compressors
load
conditioning system
air conditioning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2024/073001
Other languages
English (en)
French (fr)
Inventor
陈万家
于勇
蔡宇辉
李振华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
York Guangzhou Air Conditioning and Refrigeration Co Ltd
Johnson Controls Tyco IP Holdings LLP
Original Assignee
York Guangzhou Air Conditioning and Refrigeration Co Ltd
Johnson Controls Tyco IP Holdings LLP
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by York Guangzhou Air Conditioning and Refrigeration Co Ltd, Johnson Controls Tyco IP Holdings LLP filed Critical York Guangzhou Air Conditioning and Refrigeration Co Ltd
Publication of WO2024153181A1 publication Critical patent/WO2024153181A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B49/00—Arrangement or mounting of control or safety devices
    • F25B49/02—Arrangement or mounting of control or safety devices for compression type machines, plants or systems
    • F25B49/022—Compressor control arrangements
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Definitions

  • the present application relates to an air conditioning system, and in particular to controlling a compressor in an air conditioning system.
  • the compressor with the shortest running time is loaded first when loading the compressors.
  • the actual loss of the compressor is different under different loads, different working conditions, and different frequencies. Therefore, it is inaccurate to simply estimate the wear of the compressor by time.
  • the present application sets several operating cycles for multiple compressors in an air-conditioning system, and controls these multiple compressors to run periodically in several operating cycles.
  • all the multiple compressors are loaded and all cumulatively run for a predetermined threshold time, and then the compressors are controlled to run in the next operating cycle.
  • the compressor is unloaded and is no longer loaded in this operating cycle, and can be loaded and run again in the next operating cycle.
  • multiple compressors can all be loaded and run for the same time in each operating cycle, so that multiple compressors can all run evenly in each operating cycle, so that all compressors can run evenly in several operating cycles. Therefore, the present application can achieve uniform wear of the compressor and extend the life cycle of the air-conditioning system.
  • an operation cycle if all the compressors that are not currently running among the multiple compressors have been loaded and have accumulated a predetermined threshold time, then an operation cycle is interrupted, and the compressor can be controlled to operate in the next operation cycle. In this way, if there is no compressor to be loaded in an operation cycle, and the air-conditioning system currently needs to load a compressor, a compressor can be selected from the loadable compressors in the next operation cycle for loading. Therefore, the present application can satisfy the load requirements of the air-conditioning system while satisfying the operation of the compressor cycle, so that the air-conditioning system can operate normally.
  • the present application provides a method for controlling a compressor in an air conditioning system.
  • the air conditioning system includes N compressors.
  • the method controls the N compressors to operate in a plurality of operating cycles.
  • the method for controlling the N compressors to operate in one operating cycle in a plurality of operating cycles includes the following steps (A), (B), (C) and (D).
  • step (A) an operation cycle is set for N compressors.
  • step (B) a threshold value X of the operation time is set for the N compressors.
  • step (C) in one operation cycle, all the N compressors are loaded and run at least once.
  • step (D) in one operation cycle, if all the N compressors are loaded and have accumulated the operation threshold value X time, then the one operation cycle ends and enters the next operation cycle.
  • the next operation cycle is an operation cycle adjacent to the one operation cycle and after the one operation cycle among several operation cycles.
  • step (C) the following steps (1), (2) and (3) are performed according to the actual operation of the air-conditioning system.
  • step (1) if the load of the air-conditioning system needs to be increased, the load of the N compressors is distributed to meet the required increase in load, and the N compressors are operated at the distributed load.
  • step (2) if the load of the air-conditioning system needs to be reduced, the load of the N compressors is distributed to meet the required reduction in load, and the N compressors are operated at the distributed load.
  • step (3) if the load of the air-conditioning system is met, the running compressors are kept running.
  • step (C) within an operating cycle, if a compressor among the N compressors is loaded and has accumulated an operating threshold time of X, the compressor that has accumulated an operating threshold time of X is unloaded and configured to not be loaded and operated again within the one operating cycle, but to be able to be loaded and operated in the next operating cycle.
  • step (C) within an operating cycle, if all of the N compressors that are currently not in operation have been loaded and have accumulated an operating threshold time of X, then the operating cycle is interrupted and enters the next operating cycle.
  • step (C) the following steps are further performed: if there are loadable compressors in the previous operation cycle, the operation parameters in the previous operation cycle are obtained and the N compressors are controlled to operate in the previous operation cycle, otherwise the N compressors are controlled to continue to operate in the current operation cycle, and the accumulated operation time of the loadable compressors is less than the threshold value X.
  • step (C) the following steps are further performed: if all the compressors that are currently not in operation in the N compressors in an operation cycle have been loaded and have accumulated the operation threshold value X time, the operation cycle is interrupted, the next operation cycle is entered, and the N compressors are controlled to operate in the next operation cycle, otherwise the N compressors are controlled to continue to operate in the operation cycle.
  • the previous operation cycle is an operation cycle before an operation cycle among several operation cycles.
  • step (3) of step (C) when the load of the air-conditioning system is satisfied and the running compressor is kept running, if the accumulated running time of a compressor reaches the running time threshold value X, the following steps (3-1) and (3-2) are performed.
  • step (3-1) a compressor is selected from the loadable compressors of N compressors. The cumulative running time of the loadable compressor is less than the threshold value X.
  • step (3-2) the selected compressor is used to replace the compressor whose cumulative running time reaches the threshold value X to run, so as to keep meeting the load of the air conditioning system.
  • step (3-2) the compressor whose cumulative operating time reaches the threshold value X is replaced with the selected compressor.
  • step (3-2) after the above replacement, the load of the operating compressors other than the compressor whose cumulative operating time reaches the threshold value X and the selected compressor are distributed to keep the load of the air-conditioning system satisfied.
  • step (3-2) the load is distributed to the operating compressors other than the compressor whose cumulative operating time reaches the threshold value X and the selected compressor according to the load distribution scheme.
  • step (3-2) the operating compressors other than the compressor whose cumulative operating time reaches the threshold value X and the selected compressor are operated at the distributed load, and the compressor whose cumulative operating time reaches the threshold value X is unloaded, so as to keep the load of the air-conditioning system satisfied.
  • step (1) if the load of the air-conditioning system needs to be increased, the load of the running compressors among the N compressors is distributed to meet the required increased load.
  • steps (1-1) and (1-2) are performed.
  • step (1-1) if the load rate of no compressor exceeds the highest optimized load rate after the distribution, the load is distributed to the running compressor according to the load distribution scheme, and the running compressor is operated at the distributed load.
  • step (1-2) if the load rate of a compressor exceeds the highest optimized load rate after the distribution, a compressor is selected from the loadable compressors of the N compressors so that the load rate of no compressor exceeds the highest optimized load rate after the load distribution is performed on the running compressors and the selected compressors according to the required increased load. Therefore, the load is distributed to the running compressors and the selected compressors according to the load distribution scheme, and the running compressors and the selected compressors are operated at the distributed load.
  • the cumulative running time of the loadable compressors is less than the threshold value X.
  • the load rate of the compressor is the ratio of the actual load of the compressor to the maximum load.
  • the maximum optimized load rate is the maximum load rate when the compressor is in the optimized load rate range.
  • step (2) if it is necessary to reduce the load of the air-conditioning system, load distribution is performed on the N compressors in operation to meet the required load reduction.
  • step (2) if it is necessary to reduce the load of the air-conditioning system, load distribution is performed on the N compressors in operation to meet the required load reduction.
  • steps (2-1) and (2-2) are performed.
  • step (2-1) if the load rate of no compressor exceeds the minimum optimized load rate after distribution, the load is distributed to the running compressors according to the load distribution plan, and the running compressors are operated at the distributed load.
  • step (2-2) if the load rate of a compressor exceeds the minimum optimized load rate after distribution, a compressor is selected from the running compressors so that after the load distribution is performed on the running compressors other than the selected compressor according to the required load reduction, the load rate of no compressor exceeds the minimum optimized load rate.
  • the load is distributed to the running compressors other than the selected compressor according to the load distribution plan, so that the running compressors other than the selected compressor are operated at the distributed load.
  • the running compressors run at the assigned load and unload the selected compressors.
  • the load rate of the compressor is the ratio of the actual load of the compressor to the maximum load.
  • the minimum optimized load rate is the minimum load rate when the compressor is in the optimized load rate range.
  • the step of selecting a compressor includes randomly selecting a compressor from the selectable compressors.
  • the loadable compressors of the N compressors are the selectable compressors.
  • the loadable compressors of the N compressors are the selectable compressors.
  • the compressors in operation are the selectable compressors.
  • the step of randomly selecting a compressor from the selectable compressors comprises the following steps (I), (II), (III) and (IV).
  • step (I) a random number R between 0 and 1 is randomly generated for each of the selectable compressors.
  • step (II) a threshold value F(n) of each compressor is calculated based on the following formula:
  • n is the serial number of the compressor
  • P is the probability of each compressor being selected, and the probability is 1/(the total number of compressors that can be selected in the current selection),
  • r is the number of times a compressor is to be selected from the selectable compressors during the operation of the air conditioning system
  • mod(1/P) represents the remainder obtained when the quotient of 1/P is rounded to an integer.
  • G is the set of compressors that can be selected in the current selection.
  • step (III) the random number R of each compressor is compared with a threshold value F(n).
  • step (IV) when only one compressor has a random number less than the threshold value F(n), one compressor is selected, otherwise steps (I), (III) and (IV) are repeated.
  • steps (3-1), (1-2) and (2-2) r is counted independently. When the air conditioning system is stopped and then restarted, r is counted again.
  • the step of load distribution includes performing load distribution so that the compressors to which the loads are distributed have the same load rate.
  • step (1), step (2) and step (3) after the step of allocating the load to the compressor according to the load distribution plan, the following step is also performed: if there is a compressor among the running compressors to which the load is allocated and has a restriction condition and cannot change the load, the compressor with the restriction condition is maintained in its operating state, and the other compressors to which the load is allocated are operated at the allocated load.
  • the operating parameters stored in an operating cycle in which the air-conditioning system was required to stop operating are obtained and N compressors are controlled to continue operating in an operating cycle in which the air-conditioning system was required to stop operating.
  • steps (A) to (D) are performed for the compressors among the N compressors except the failed compressor.
  • step (C) the load demand of the air conditioning system is obtained according to the temperature difference between the actual indoor temperature of the air conditioning control unit and the set indoor temperature and the temperature difference change rate of the actual indoor temperature.
  • step (1), step (2) or step (3) in step (C) is performed according to the obtained load demand of the air conditioning system.
  • the air conditioning system is used to provide cooling and/or heating to the air conditioning control unit.
  • the load demand of the air conditioning system includes the need to increase the load of the air conditioning system, the need to reduce the load of the air conditioning system and the need to meet the load of the air conditioning system.
  • step (C) the previous actual indoor temperature of the air-conditioning system is detected at a previous moment and the previous set indoor temperature is obtained, and the current actual indoor temperature of the air-conditioning system is detected at a current moment and the current set indoor temperature is obtained, wherein time t elapses from the previous moment to the current moment.
  • step (C) the previous indoor temperature difference is obtained based on the difference between the detected previous actual indoor temperature and the obtained previous set indoor temperature, the current indoor temperature difference is obtained based on the difference between the detected current actual indoor temperature and the obtained current set indoor temperature, and the current temperature difference change rate is obtained based on the result of dividing the difference between the current indoor temperature difference and the previous indoor temperature difference by time t.
  • step (C) the load demand of the air-conditioning system is obtained based on the current indoor temperature difference and the current temperature difference change rate.
  • step (1), step (2) or step (3) in step (C) is performed based on the obtained load demand of the air-conditioning system.
  • step (C) the following steps are performed before step (1): if the air-conditioning system is initially started, one or more compressors are selected from N compressors, loads are allocated to the selected compressors to meet the initial load requirements of the air-conditioning system, and the selected compressors are operated at the allocated loads.
  • the initial load demand is obtained according to the actual indoor temperature and the set indoor temperature of the air conditioning control unit.
  • the air conditioning system is used to provide cooling and/or heating to the air conditioning control unit.
  • a loadable compressor is determined based on at least the following items: the preheating time of the compressor meets the requirement; the compressor is not currently running; the restart interval time of the compressor is reached; and the compressor has no fault.
  • the present application provides a system for controlling a compressor in an air conditioning system.
  • the system includes a detection system and a control system.
  • the detection system is connected to the air conditioning system and is configured to detect the operating status of the air conditioning system.
  • the control system is connected to the detection system.
  • the control system includes a processor and a memory. The control system is configured to perform the aforementioned steps to control the operation of the compressor in the air conditioning system based on the operating status of the air conditioning system detected by the detection system and the control input.
  • the detection system includes a temperature detection device, a timing device, a fault detection device and an operation status detection device.
  • the temperature detection device is configured to detect the indoor temperature of the air conditioning control unit.
  • the timing device is configured to detect at least one of the cumulative operation time, preheating time and restart interval time of N compressors.
  • the fault detection device is configured to detect whether the N compressors have a fault.
  • the operation status detection device is configured to detect the operation status of the N compressors.
  • FIG1 shows a logic block diagram of a system for controlling a compressor in an air conditioning system according to the present application
  • FIG2 is a flowchart showing a method for controlling N compressors in the air conditioning system shown in FIG1 ;
  • FIG3 is a flowchart showing a method of controlling N compressors in the air conditioning system shown in FIG1 when the air conditioning system is restarted after being stopped;
  • FIG4A shows a flowchart of the initial loading step in the flowcharts shown in FIG2 and FIG3;
  • FIG4B shows a detailed flowchart of FIG4A ;
  • FIG4C is a schematic diagram showing the relationship between the load factor and energy efficiency of the compressor
  • FIG5 is a flowchart showing an execution determination step in the flowcharts shown in FIG2 and FIG3 ;
  • FIG6 is a flowchart showing the loading process steps in the flowcharts shown in FIG2 and FIG3;
  • FIG7 is a flowchart showing a retention process step in the flowcharts shown in FIG2 and FIG3;
  • FIG8 is a flowchart showing the load shedding process steps in the flowcharts shown in FIG2 and FIG3 ;
  • FIG9 is a flowchart showing a compressor selection step in the flowcharts shown in FIGS. 4A-4B and 6-8; as well as
  • FIG. 10 shows a block diagram of the control system shown in FIG. 1 .
  • FIG. 1 shows a logic block diagram of a system 100 for controlling a compressor in an air-conditioning system of the present application, to illustrate main functional modules of software and hardware of the system for controlling a compressor in an air-conditioning system of the present application.
  • the system 100 for controlling a compressor in an air-conditioning system of the present application includes an air-conditioning system 101, a detection system 102, and a control system 103.
  • the air-conditioning system 101 includes a condenser 104, an expansion valve 105, an evaporator 106, and a compressor unit 107, which are sequentially connected to provide a cold and hot circulation loop to output cold and heat.
  • the air-conditioning system 101 can provide cold and/or heat to an air-conditioning control unit (not shown).
  • the compressor unit 107 includes a plurality of compressors 107.1, 107.2, ... 107.N. When the air-conditioning system 101 is working, the plurality of compressors 107.1, 107.2, ... 107.N operate at a required operating frequency so that the air-conditioning system 101 provides the required cold and/or heat to the air-conditioning control unit.
  • the detection system 102 is connected to the air conditioning system 101 and can monitor the operating parameters of various components of the air conditioning system 101.
  • the detection system 102 is also connected to the control system 103 and can send the monitored operating parameters of the air conditioning system 101 to the control system 103.
  • the control system 103 can control the operation of the air conditioning system 101 according to the received operating parameters of the air conditioning system 101.
  • the detection system 102 includes a temperature detection device 108, a timing device 109, a fault detection device 110 and an operation status detection device 111.
  • the temperature detection device 108 is connected to the return air outlet of the air conditioning system 101 through a connecting line 112 to detect the temperature at the return air outlet, that is, the actual indoor temperature of the air conditioning control unit.
  • the timing device 109 is connected to the compressor unit 107 through a connecting line 113 to detect the cumulative operating time, preheating time, restart interval time, etc. of the multiple compressors 107.1, 107.2, ... 107.N in the compressor unit 107.
  • the fault detection device 110 is connected to the compressor unit 107 through a connecting line 114 to detect the faults of the multiple compressors 107.1, 107.2, ...
  • the operating state detection device 111 is connected to the compressor unit 107 via a connecting line 115 to detect the operating states of the multiple compressors 107.1, 107.2, ... 107.N in the compressor unit 107 and generate compressor operating state signals.
  • the detection system 102 includes other suitable devices and structures to detect required system parameters.
  • the control system 103 is connected to the temperature detection device 108 via the connection line 116 to receive the actual indoor temperature detected by the temperature detection device 108.
  • the control system 103 is connected to the timing device 109 via the connection lines 117, 118, 119 to receive The operating parameters such as the accumulated running time, preheating time, and restart interval time detected by the timing device 109.
  • the connecting lines 117, 118, and 119 are merged into one connecting line.
  • the control system 103 is connected to the fault detection device 110 via the connecting line 120 to receive the fault signal detected by the fault detection device 110.
  • the control system 103 is connected to the operating status detection device 111 via the connecting line 130 to receive the compressor operating status signal detected by the operating status detection device 111.
  • the control system 103 also receives user control inputs via the connecting line 132, such as the indoor temperature set by the user, that is, the indoor temperature is set. In addition, the control system 103 also receives user control inputs via the connecting line 133, such as the number of outdoor units set by the user. In other embodiments, the control system 103 obtains the required system parameters through other suitable structures or methods.
  • the control system 103 can generate a compressor control signal according to the received actual indoor temperature, cumulative operating time, preheating time, restart interval time, fault signal, compressor operating state signal, set indoor temperature and outdoor unit horsepower, etc., to control the operation of multiple compressors 107.1, 107.2, ... 107.N.
  • the detection system 102 also includes other detection devices to detect other operating parameters of the air-conditioning system 101, and can send these operating parameters to the control system 103, so that the control system 103 generates other control signals based on these operating parameters, such as condenser control signals, expansion valve control signals, evaporator control signals, etc., to control the normal operation of the air-conditioning system.
  • FIG. 2 shows a flowchart 200 of a method for controlling N compressors 107 . 1 , 107 . 2 , . . . 107 .N in the air conditioning system 101 shown in FIG. 1 , so as to illustrate the specific operation of an embodiment of controlling a plurality of compressors.
  • step 202 the operation of N compressors starts to be controlled, and then the process goes to step 204 .
  • step 204 an operation cycle is set for N compressors (ie, compressors 107 . 1 , 107 . 2 , . . . 107 .N), and then the process goes to step 206 .
  • N compressors ie, compressors 107 . 1 , 107 . 2 , . . . 107 .N
  • a threshold value X of the operating time is set for N compressors (ie, compressors 107 . 1 , 107 . 2 , . . . 107 .N), and then the process goes to step 208 .
  • step 208 it is determined whether the air conditioning system 101 is initially started. If the air conditioning system 101 is initially started, the process proceeds to step 210. If the air conditioning system 101 is not initially started, the process proceeds to step 212. Initial startup indicates that the air conditioning system 101 has started to run from never running, and each component of the air conditioning system 101 starts to run.
  • step 210 the initial loading process (see FIGS. 4A-4B ) is performed, and then the process goes to step 212 .
  • step 212 the operating status of the running air-conditioning system 101 is monitored, and the operating parameters of the air-conditioning system 101 are obtained, and then the process goes to step 214 .
  • step 214 it is determined whether the waiting time has been reached. If the waiting time has not been reached, the process continues to wait and goes to step 212, continue to monitor the operating status of the air conditioning system 101 and obtain the operating parameters of the air conditioning system 101. If the waiting time is reached, go to step 216.
  • the waiting time is set to allow the air conditioning system 101 to run stably for a period of time to facilitate the processing of subsequent steps. The stable operation of the air conditioning system 101 can facilitate the execution of subsequent steps, for example, the judgment operation of step 226.
  • the waiting time is set to 30s. In other embodiments, the waiting time is set to other suitable time.
  • step 216 it is determined whether there is a loadable compressor in the previous operation cycle. If there is no loadable compressor in the previous operation cycle, the process proceeds to step 220, so that the compressor continues to operate in the current operation cycle. If there is a loadable compressor in the previous operation cycle, the process proceeds to step 218, so that the compressor operates in the previous operation cycle. In other embodiments, other suitable methods are used to determine whether to operate the compressor in the previous operation cycle, so that the previous operation cycle can be completed as soon as possible.
  • step 220 it is determined whether the cumulative running time Tn of the compressors that are not running in the current operating cycle has reached the threshold value X (Tn ⁇ X). If the cumulative running time Tn of the compressors that are not running in the current operating cycle has reached the threshold value X, it indicates that there is no loaded compressor in the current operating cycle, and then go to step 222. In step 222, the running time of the compressor whose cumulative running time Tn reaches the threshold value X is cleared. When there is no loaded compressor in the current operating cycle, the current operating cycle is interrupted and the next operating cycle is entered to enable the air conditioning system 101 to operate normally.
  • the present application can load the compressor in the next operating cycle to meet the load required for the normal operation of the air conditioning system 101 while the compressor cycle is running. After step 222, go to step 204 to control the compressor in the air conditioning system 101 to start operating in the next operating cycle. In other embodiments, other suitable methods are used to determine whether to interrupt the current operating cycle and enter the next operating cycle to enable the air conditioning system 101 to operate normally.
  • step 220 if the accumulated operation time Tn of the compressor that is not in operation in the current operation cycle does not reach the threshold value X, the process goes to step 224 to make the compressor continue to operate in the current operation cycle.
  • step 224 the loadable compressor is determined, and then step 226 is performed.
  • the loadable compressor is determined from the compressors whose cumulative running time Tn does not reach the threshold value X based on at least the following items: the preheating time of the compressor meets the requirements, the compressor is not currently running, the restart interval time of the compressor is reached, and the compressor is not faulty.
  • the restart interval of the compressor is 3 minutes.
  • the present application can set the restart interval of other suitable compressors. In other embodiments, other suitable methods are used to determine the loadable compressor.
  • step 226 an execution judgment process is performed (see FIG. 5 ), and it is determined whether to perform a loading process, a maintaining process, or a load reduction process according to the load demand of the air conditioning system 101. If the load of the air conditioning system 101 needs to be increased, the process goes to step 228 and the loading process is performed (see FIG. 6 ). If the load of the air conditioning system 101 is satisfied, the process goes to step 230 and the maintaining process is performed (see FIG. 7 ). If the load of the air conditioning system 101 needs to be reduced, the process goes to step 232 to perform load reduction processing (see FIG. 8 ).
  • step 234 After the loading process is executed in step 228, the process proceeds to step 234. After the holding process is executed in step 230, the process proceeds to step 234. After the unloading process is executed in step 232, the process proceeds to step 234.
  • step 234 it is determined whether the air conditioning system 101 needs to be shut down (i.e., stop running). If the air conditioning system 101 needs to be shut down, go to step 236 to end the control of the compressor. If the air conditioning system 101 does not need to be shut down, go to step 212 to continue to supervise the operation of the air conditioning system 101 and implement subsequent operations. In one embodiment, when the user does not need the air conditioning system 101 to be operated, the user inputs to control the air conditioning system 101 to shut down. In another embodiment, when a compressor failure is detected, the air conditioning system 101 is controlled to shut down. In other embodiments, the air conditioning system 101 is controlled to shut down based on other appropriate requirements and/or using other appropriate methods. In other embodiments, if a compressor among N compressors fails and stops working, the compressors other than the failed compressor among the N compressors can continue to run, and the control operation of the compressor of this application is performed.
  • step 216 if there is a loadable compressor in the previous operation cycle, then go to step 218 to make the compressor run in the previous operation cycle.
  • step 218 enter the previous operation cycle that has not ended, obtain the stored operation parameters related to the previous operation cycle, and then go to step 224.
  • step 218, the operation of the subsequent steps (steps 224, 226, etc.) is performed in the previous operation cycle that has not ended.
  • the compressor currently in operation maintains its operation without change, and when the compressor needs to be loaded, the compressor is selected from the loadable compressors in the previous operation cycle to load.
  • step 218, go to step 224, determine the loadable compressor in the previous operation cycle according to the acquired operation parameters related to the previous operation cycle.
  • step 228, when the compressor needs to be loaded the compressor is selected from the loadable compressors in the previous operation cycle that has not ended to load (see Figure 6).
  • step 230 when a compressor needs to be loaded to replace the accumulated operation time reaching a threshold, a compressor is selected for loading from the loadable compressors in the previous operation cycle that has not ended (see FIG. 7).
  • the previous operation cycle is entered, so that when a compressor needs to be loaded, the compressor in the previous operation cycle can be loaded first, thereby terminating the previous operation cycle first.
  • the previous operation cycle is terminated first, so that each operation cycle can be executed and completed in a sequential order, thereby achieving wear balancing of the compressor.
  • FIG. 3 shows a flowchart 300 of a method for controlling N compressors 107.1, 107.2, ... 107.N in the air conditioning system 101 shown in FIG. 1 when the air conditioning system 101 is stopped and then restarted, to illustrate the method of controlling multiple compressors. Specific operation of an embodiment.
  • the flowchart of the method for controlling N compressors 107.1, 107.2, ... 107.N in the air-conditioning system 101 in FIG3 is substantially the same as the flowchart of the method for controlling N compressors 107.1, 107.2, ... 107.N in the air-conditioning system 101 in FIG2.
  • the specific operations implemented by the steps with the same numbers as those in FIG2 in FIG3 are the same as those in FIG2.
  • the difference is that the operation of controlling N compressors 107.1, 107.2, ... 107.N in the air-conditioning system 101 in FIG3 starts at step 302 and then turns to step 304 to obtain the stored operating parameters in an operating cycle in which the air-conditioning system 101 is required to stop operating, and control the N compressors 107.1, 107.2, ...
  • step 107.N to continue operating in an operating cycle in which the air-conditioning system 101 is required to stop operating. Then, the process turns to step 208 from step 304 to continue the operation of the subsequent steps. These steps in FIG. 3 are continued to be executed in a paused operation cycle when the air conditioning system 101 is required to stop operating.
  • FIG. 4A shows a flowchart of the initial loading process step 210 in the flowcharts shown in FIG. 2 and FIG. 3 , to illustrate the specific operation of an embodiment of the initial loading process.
  • step 402 the process goes to step 402 to start the operation of the initial loading process 210 in FIGS. 2 and 3 .
  • the initial load demand of the air conditioning system 101 is obtained according to the actual indoor temperature and the set indoor temperature of the air conditioning control unit, and then the process goes to step 404.
  • the initial energy demand is used to indicate the initial load demand of the air conditioning system 101, wherein the initial energy demand corresponds to the total operating frequency of the N compressors in the air conditioning system 101.
  • other suitable parameters are used to indicate the initial load demand of the air conditioning system 101.
  • the initial energy demand of the air conditioning system 101 is determined based on the total horsepower HP of the N outdoor units in the air conditioning system 101 and the temperature difference between the actual indoor temperature and the set indoor temperature of the air conditioning control unit, wherein each outdoor unit includes a compressor.
  • HP represents the total horsepower of the N outdoor units of the air conditioning system 101
  • A represents the coefficient.
  • the total horsepower HP of the N outdoor units can be set by the user and obtained by, for example, the control system 103 through a communication method.
  • the actual indoor temperature of the air conditioning control unit can be obtained using the return air temperature Ta of the air conditioning system 101.
  • a temperature detection device is set at the return air outlet of the air conditioning system 101 to detect the return air temperature Ta.
  • the set indoor temperature Ts of the air conditioning control unit can be obtained by the user's control input.
  • the user inputs the required indoor temperature, i.e., the set indoor temperature Ts, through a remote controller, and the control system 103 can receive and store the set indoor temperature.
  • Table 1 shows the relationship between the temperature difference between the actual indoor temperature Ta and the set indoor temperature Ts of the air conditioning control unit and the coefficient A:
  • the initial energy requirement of the air conditioning system 101 corresponds to the total operating frequency of the N outdoor units in the air conditioning system 101, and the total operating frequency is the sum of the operating frequencies of the outdoor units.
  • the operating frequency of the outdoor unit can be indicated by the operating frequency of the compressor in the outdoor unit.
  • Table 2 shows the corresponding relationship between the energy requirement of the air conditioning system 101 and the operating frequency (in HZ) of a compressor in the air conditioning system 101:
  • the control system 103 can also set the voltage of the compressor of the air conditioning system 101 according to the allocated energy demand so that the compressor operates at a desired operating frequency, thereby allowing the air conditioning system 101 to operate at the desired operating frequency.
  • a compressor is selected from the N compressors 107.1, 107.2, ... 107.N, and then the process goes to step 406.
  • the required compressor is selected from the N compressors 107.1, 107.2, ... 107.N based on the initial energy demand of the air conditioning system 101 obtained in step 402.
  • a compressor is selected from the N compressors 107.1, 107.2, ... 107.N, and the selection includes randomly selecting a compressor.
  • a suitable number of compressors are selected from the N compressors 107.1, 107.2, ... 107.N.
  • step 406 load distribution is performed on the selected compressor to meet the initial load demand, and then the process proceeds to step 408.
  • energy demand is distributed based on the selected compressor to meet the acquired initial energy demand of the air conditioning system 101.
  • step 408 the selected compressor is operated at the allocated load, and then the process goes to step 212 in Figures 2 and 3.
  • the energy demand is allocated to the selected compressor based on the allocation scheme in step 406.
  • a voltage corresponding to the allocated energy demand is set for the selected compressor and the compressor is operated at the corresponding voltage, so that the compressor operates at the corresponding required operating frequency.
  • FIG. 4B shows a detailed flowchart of FIG. 4A , to illustrate a detailed flowchart of an embodiment of the initial loading process step 210 in the flowcharts of FIG. 2 and FIG. 3 .
  • step 410 start the operation of the initial loading step 210 in FIGS. 2 and 3 .
  • step 410 the initial load demand is obtained according to the actual indoor temperature and the set indoor temperature of the air conditioning control unit, and then the process goes to step 412.
  • Step 410 in FIG4B is the same as step 402 in FIG4A.
  • step 412 a compressor is selected from the loadable compressors, and then the process proceeds to step 414.
  • the selection includes randomly selecting a compressor.
  • step 414 load distribution is performed on the selected compressor to meet the initial load demand, and then the process proceeds to step 416.
  • energy demand distribution is performed on the selected compressor to meet the initial energy demand of the air conditioning system 101 obtained in step 410.
  • step 416 it is determined whether there is a compressor whose load rate exceeds the highest optimized load rate after the load distribution in step 414. If there is a compressor whose load rate exceeds the highest optimized load rate after the load distribution in step 414, the process goes to step 412 and selects another compressor for load distribution, that is, the previously selected compressor and the currently selected compressor are selected. The load is distributed among the compressors. If multiple compressors are selected cumulatively, the selected compressors are made to reach the same load rate when performing load distribution to meet the initial energy demand of the air-conditioning system 101 obtained. Making the selected multiple compressors reach the same load rate can achieve balanced wear of different compressors.
  • the load rate of the compressor is the ratio of the actual load of the compressor to the maximum load of the compressor.
  • the load rate of the compressor can be the ratio of the actual energy demand of the compressor to the maximum energy demand of the compressor.
  • the compressor is operated in the optimized load rate range, so that the air-conditioning system 101 operates with high energy efficiency. Repeat steps 412 and 414 until it is determined in step 416 that the load rate of no compressor exceeds the highest optimized load rate, then go to step 418.
  • An optimized load rate interval is set for each of the N compressors, and the optimized load rate interval includes a minimum optimized load rate and a maximum optimized load rate.
  • the optimized load rate interval i.e., the interval between the minimum optimized load rate and the maximum optimized load rate
  • the compressor can operate energy-efficiently.
  • the present application enables each compressor to operate at the same load rate within its respective optimized load rate interval, so that the wear of each compressor is balanced and the air-conditioning system 101 can operate energy-efficiently.
  • other suitable methods are used to distribute the load to each compressor.
  • step 416 if the load rate of no compressor exceeds the highest optimal load rate after the load distribution in step 414 , the process proceeds to step 418 .
  • step 418 the selected compressor is operated at the assigned load, and then the process goes to step 212 in FIGS. 2 and 3.
  • FIG4C is a schematic diagram showing the relationship between the load factor and energy efficiency of the compressor, to illustrate the relationship between the load factor and energy efficiency of the compressor.
  • an optimized load rate interval (a, c) is set for each of the N compressors (e.g., variable frequency compressors).
  • the operating energy efficiency COP of each of the N compressors is ⁇ a predetermined performance value COP target .
  • the optimized load rate interval (a, c) when the load rate of the compressor gradually increases from load rate a (the lowest optimized load rate), the operating energy efficiency COP of the compressor gradually increases from the predetermined performance value COP target until the load rate of the compressor reaches load rate b, at which time the operating energy efficiency COP of the compressor reaches the maximum operating energy efficiency COP Max .
  • the operating energy efficiency COP of the compressor gradually decreases from the maximum operating energy efficiency COP Max until the load rate of the compressor reaches load rate c (the highest optimized load rate), at which time the operating energy efficiency COP of the compressor reaches the predetermined performance value COP target .
  • load rate of the compressor is lower than load rate a or higher than load rate c
  • the operating energy efficiency COP of the compressor is lower than the predetermined performance value COP target . Setting the load rate of the compressor within the optimal load rate interval (a, c) enables the compressor to operate with high energy efficiency, thereby enabling the air conditioning system 101 to operate with high energy efficiency.
  • the highest optimal load rate in step 416 is the optimal load rate c of the compressor shown in FIG4C.
  • the compressor when the operating frequency of the compressor is 30 Hz (its corresponding energy demand is 4), the compressor reaches the lowest optimal load rate. When the operating frequency of the compressor is 60 Hz (its corresponding energy demand is 19), the compressor reaches the lowest optimized load rate c (that is, 60/90 ⁇ 0.67). In other embodiments, the compressor has the lowest optimized load rate a and the highest optimized load rate c under other suitable operating frequencies and energy demands.
  • FIG. 5 shows a flowchart of the execution judgment step 226 in the flowcharts shown in FIG. 2 and FIG. 3 , so as to illustrate the specific operation of an embodiment of the execution judgment.
  • step 502 the process goes to step 502 from step 224 in FIG. 2 and FIG. 3 to start executing the operation of determining 226 .
  • step 502 the temperature difference between the actual indoor temperature and the set indoor temperature of the air conditioning control unit and the temperature difference change rate of the actual indoor temperature are obtained, and then the process goes to step 504 .
  • the previous actual indoor temperature of the air conditioning control unit is detected at a previous moment and the previous set indoor temperature of the air conditioning control unit is obtained
  • the current actual indoor temperature of the air conditioning control unit is detected at a current moment and the current set indoor temperature of the air conditioning control unit is obtained.
  • Time t elapses from the previous moment to the current moment.
  • the previous indoor temperature difference is obtained based on the difference between the detected previous actual indoor temperature and the obtained previous set indoor temperature
  • the current indoor temperature difference is obtained based on the difference between the detected current actual indoor temperature and the obtained current set indoor temperature.
  • the current temperature difference change rate is obtained based on the result of dividing the difference between the current indoor temperature difference and the previous indoor temperature difference by time t.
  • step 504 the load demand of the air conditioning system is obtained according to the temperature difference and the temperature difference change rate, and then the process goes to step 506.
  • the energy demand correction value P of the air conditioning system 101 is obtained according to the current indoor temperature difference and the current temperature difference change rate obtained in step 502. Then, the determination process of loading, maintaining and reducing load is performed according to the obtained energy demand correction value P of the air conditioning system 101.
  • the energy demand correction value P of the air conditioning system 101 is obtained based on the following Table 3:
  • ⁇ Ts represents the current indoor temperature difference
  • ⁇ W represents the current temperature difference change rate
  • D is a positive number
  • N1 is a positive number
  • N2, N3, N4 and N5 are negative numbers
  • the values in the above table, such as +b, a, -b, -c, etc. represent the required correction value P, where a ⁇ b ⁇ c ⁇ d ⁇ e ⁇ f ⁇ g ⁇ h ⁇ i ⁇ j.
  • step 506 it is determined whether the energy demand correction value P is greater than zero. If the energy demand correction value P is greater than zero, then go to step 228. In step 228, the loading process (see FIG. 6) is performed, and then go to step 234 in FIG. 2 and FIG. 3. If the energy demand correction value P is not greater than zero, then go to step 508.
  • step 508 it is determined whether the energy demand correction value P is equal to zero. If the energy demand correction value P is equal to zero, then go to step 230. In step 230, the maintenance process (see FIG. 7) is performed, and then go to step 234 in FIG. 2 and FIG. 3. If the energy demand correction value P is not equal to zero, then go to step 232. In step 232, the load reduction process (see FIG. 8) is performed, and then go to step 234 in FIG. 2 and FIG. 3.
  • FIG. 6 is a flowchart of the loading process step 228 in the flowcharts shown in FIG. 2 and FIG. 3 , to illustrate the specific operation of an embodiment of the loading process.
  • step 602 if the energy required correction value P is greater than zero in step 506 of FIG. 5 , the process goes to step 602 to start the operation of loading step 228 .
  • step 602 determine the compressor that is running, and then go to step 604 .
  • step 604 load distribution is performed on the running compressors to meet the required increased load, and then the process proceeds to step 606.
  • load distribution is performed on the running compressors so that the running compressors reach the same load rate to meet the required increased load.
  • energy demand distribution is performed on the running compressors so that the running compressors reach the same load rate to meet the energy demand correction value P greater than zero.
  • the corrected energy demand of the air-conditioning system 101 is obtained based on the sum of the current energy demand of the air-conditioning system 101 and the energy demand correction value P greater than zero, so that the load distribution is performed on the compressors to which the load needs to be distributed to meet the obtained corrected energy demand of the air-conditioning system 101.
  • step 606 it is determined whether the load rate of any compressor exceeds the highest optimized load rate after the load distribution in step 604. If the load rate of any compressor exceeds the highest optimized load rate after the load distribution in step 604, the process proceeds to step 608, a compressor is selected from the loadable compressors, and then the process proceeds to step 610. In one embodiment, it is determined whether the load rate of any compressor exceeds the highest optimized load rate after the energy demand distribution in step 604.
  • step 610 load distribution is performed on the selected compressor and the compressor in operation to meet the required increased load, and then the process goes to step 606 to determine whether the load rate of any compressor exceeds the highest optimized load rate after the load distribution.
  • load distribution is performed so that the selected compressor and the compressor in operation reach the same load rate.
  • energy demand distribution is performed on the selected compressor and the compressor in operation to meet the energy demand correction value P greater than zero. Since the selected compressor and the compressor in operation are made to reach the same load rate during load distribution, the load of the load-distributed compressor may change after the load distribution (e.g., energy demand distribution).
  • step 606 if the load rate of no compressor exceeds the highest optimized load rate after load distribution, go to step 612 .
  • step 612 the load is allocated to each compressor according to the allocation scheme, and then proceeds to step 614.
  • the energy demand is allocated to each compressor according to the allocation scheme.
  • step 614 it is determined whether any of the compressors in operation has a restriction condition. If no compressor in operation has a restriction condition, the process proceeds to step 616. If any compressor in operation has a restriction condition, the process proceeds to step 618.
  • step 616 each compressor is operated at the assigned load, and then the process goes to step 234 in FIGS. 2 and 3 .
  • step 618 the compressor with the restriction is kept running, and the other compressors are operated with the assigned load, and then go to step 234 in Figures 2 and 3.
  • the running compressor may have a restriction and cannot increase or reduce the load (e.g., energy demand), but can maintain its running state. At this time, even if the load (e.g., energy demand) is assigned to the compressor with the restriction in step 612, the compressor only keeps running according to its own situation without increasing or reducing the load (e.g., energy demand).
  • the method of controlling the compressor of the present application can simplify the logical control of the compressor.
  • the method of controlling the compressor will not make the air-conditioning system 101 unable to meet its load demand, because in the subsequent steps, it will continue to monitor and obtain the running state of the air-conditioning system 101 and determine whether to perform loading processing, maintenance processing or load reduction processing again.
  • the present application gives priority to increasing the load rate of the running compressor during loading processing, and then loads a new compressor after the load rate exceeds the highest optimized load rate, thereby allowing the air-conditioning system 101 to operate with high energy efficiency.
  • FIG. 7 is a flowchart of the retention process step 230 in the flowcharts shown in FIG. 2 and FIG. 3 , to illustrate the specific operation of an embodiment of the retention process.
  • step 702 if the required correction value P is equal to zero in step 508 of FIG. 5 , the process goes to step 702 and starts to maintain the operation of step 230 .
  • step 702 determine the compressor that is running, and then go to step 704 .
  • step 704 it is determined whether the cumulative running time Tn of any running compressor reaches the threshold value X (i.e., Tn ⁇ X). If the cumulative running time of any running compressor reaches the threshold value, the process proceeds to step 706. If the cumulative running time of any running compressor does not reach the threshold value, the process proceeds to step 234 in FIG. 2 and FIG. 3.
  • a compressor is selected from the loadable compressors, and then the process proceeds to step 708.
  • a compressor is selected from the loadable compressors, and the selection includes randomly selecting a compressor.
  • step 708 the compressor whose cumulative operating time reaches the threshold is replaced with the selected compressor, and then the process goes to step 710 .
  • step 710 load distribution is performed on the operating compressors and the selected compressors except the compressor whose cumulative operating time reaches the threshold value to keep the load demand being met, and then go to step 712. Since the performance (e.g., maximum load, etc.) of the selected compressor and the compressor whose cumulative operating time reaches the threshold value may be different, it is necessary to redistribute the load so that the compressors to which the load needs to be distributed reach the same load rate, thereby balancing the wear of each compressor. After the load is redistributed, the load (e.g., energy demand) of each compressor may change. In one embodiment, energy demand distribution is performed on the operating compressors and the selected compressors except the compressor whose cumulative operating time reaches the threshold value so that the compressors to which the energy demand is distributed reach the same load rate to keep the energy demand of the air conditioning system 101 being met.
  • the load e.g., energy demand
  • step 712 the load is allocated to each compressor according to the allocation plan, and then the process proceeds to step 714.
  • the energy demand is allocated to each compressor according to the allocation plan.
  • step 714 it is determined whether any of the running compressors has a restriction condition. If no of the running compressors has a restriction condition, the process proceeds to step 716. If any of the running compressors has a restriction condition, the process proceeds to step 718.
  • step 716 each compressor is operated at the assigned load, and the compressor whose cumulative operating time reaches the threshold is unloaded, and then the process goes to step 234 in FIGS. 2 and 3 .
  • step 718 the compressor with the restriction is kept running and the other compressors are operated at the assigned load. , unload the compressor whose cumulative running time reaches the threshold, and then go to step 234 in Figures 2 and 3.
  • the running compressor may have restrictions and cannot increase or reduce the load (e.g., energy demand), but can maintain its running state. At this time, even if the load (e.g., energy demand) is assigned to the compressor with restrictions in step 712, the compressor only maintains operation according to its own situation without increasing or reducing the load (e.g., energy demand).
  • the method of controlling the compressor of the present application can simplify the logical control of the compressor. The method of controlling the compressor will not make the air-conditioning system 101 unable to meet its load demand, because in subsequent steps, it will continue to monitor and obtain the operating status of the air-conditioning system 101 and determine whether to perform loading processing, maintenance processing or load reduction processing again.
  • the present application rotates the compressors with a cumulative operating threshold value X during the maintenance phase, for example, replacing the compressor with a cumulative operating threshold value X with other compressors, thereby making the losses of the N compressors more even.
  • FIG. 8 is a flow chart of the load shedding process step 232 in the flow charts shown in FIG. 2 and FIG. 3 , to illustrate the specific operation of an embodiment of the load shedding process.
  • step 802 the process goes to step 802 to start the operation of the load reduction step 232 .
  • step 802 determine the compressor that is running, and then go to step 804 .
  • step 804 load distribution is performed on the running compressors to meet the required load reduction, and then the process proceeds to step 806.
  • load distribution is performed on the running compressors so that the running compressors reach the same load rate to meet the required load reduction.
  • energy demand distribution is performed on the running compressors so that the running compressors reach the same load rate to meet the energy demand correction value P less than zero.
  • the corrected energy demand of the air-conditioning system 101 is obtained based on the sum of the current energy demand of the air-conditioning system 101 and the energy demand correction value P less than zero, so that the load distribution is performed on the compressors to which the load needs to be distributed to meet the obtained corrected energy demand of the air-conditioning system 101.
  • step 806 it is determined whether the load rate of any compressor exceeds the minimum optimized load rate after the load distribution in step 804. If the load rate of any compressor exceeds the minimum optimized load rate after the load distribution in step 804, the process proceeds to step 808, a compressor is selected from the operating compressors, and then the process proceeds to step 810. In one embodiment, it is determined whether the load rate of any compressor exceeds the minimum optimized load rate after the energy demand distribution in step 804.
  • step 810 load distribution is performed on the compressors in operation other than the selected compressor to meet the required load reduction, and then the process goes to step 806 to determine whether the load rate of any compressor exceeds the minimum optimized load rate after load distribution. Since the selected compressor is to be unloaded, the compressors in operation other than the selected compressor are unloaded. The load distribution is performed on the compressors, and the load distribution takes into account the load reduction of the compressor selected to be unloaded. In one embodiment, the energy demand distribution is performed on the compressors in operation other than the selected compressor to meet the energy demand correction value P less than zero.
  • the corrected energy demand of the air-conditioning system 101 is obtained based on the sum of the current energy demand of the air-conditioning system 101 and the energy demand correction value P less than zero, so that the load distribution is performed on the compressors to which the load is required to be distributed to achieve the corrected energy demand of the air-conditioning system 101 obtained. Since the selected compressor is to be unloaded, the energy demand reduced by the selected compressor is added to the compressors in operation other than the selected compressor. In other words, the energy demand equal to zero is distributed to the selected compressors, and the energy demand distribution is performed on the compressors in operation other than the selected compressor to achieve the corrected energy demand of the air-conditioning system 101. The load distribution is performed on the compressors in operation other than the selected compressor so that the compressors to which the load is distributed reach the same load rate, thereby balancing the wear of the compressors.
  • step 806 if the load rate of no compressor exceeds the minimum optimal load rate after load distribution, go to step 812 .
  • step 812 the load is distributed to each compressor according to the distribution plan, and then proceeds to step 814 .
  • step 814 it is determined whether any of the running compressors has a restriction condition. If no of the running compressors has a restriction condition, the process proceeds to step 816. If any of the running compressors has a restriction condition, the process proceeds to step 818.
  • step 816 each compressor is operated at the assigned load, and the selected compressor is unloaded, and then the process goes to step 234 in FIGS. 2 and 3 .
  • step 818 the compressor with the restriction condition is kept running, the other compressors are operated with the assigned load, and the selected compressor is unloaded, and then go to step 234 in Figures 2 and 3.
  • the running compressor may have a restriction condition and cannot increase or reduce the load (e.g., energy demand), but can maintain its running state. At this time, even if the load (e.g., energy demand) is assigned to the compressor with the restriction condition in step 812, the compressor only keeps running according to its own situation without increasing or reducing the load (e.g., energy demand).
  • the method of controlling the compressor of the present application can simplify the logical control of the compressor.
  • the method of controlling the compressor will not make the air-conditioning system 101 unable to meet its load demand, because in the subsequent steps, it will continue to monitor and obtain the running state of the air-conditioning system 101 and determine whether to perform loading processing, maintenance processing or load reduction processing again.
  • the present application gives priority to reducing the load rate of the running compressor during load reduction processing, and then unloads the compressor after the load rate exceeds the minimum optimized load rate, thereby ensuring the energy efficiency of the air-conditioning system 101 and allowing the air-conditioning system 101 to operate within a better energy efficiency range.
  • the present application distributes the load to the compressors to be allocated the load so that the compressors to which the load is allocated reach the same load rate, thereby further balancing the wear of the compressors in the process of controlling the N compressors of the air-conditioning system 101.
  • FIG. 9 is a flowchart of the compressor selection step in the flowcharts shown in FIGS. 4A-4B and 6-8 to illustrate the specific operation of one embodiment of the compressor selection.
  • step 900 the operation of selecting a compressor (see steps 404, 412, 608, 706, 808) begins, and then goes to step 902.
  • the selection includes randomly selecting a compressor.
  • step 902 a random number between 0 and 1 is generated for each of the selectable compressors according to a random algorithm, and then the process goes to step 904 .
  • step 904 the threshold value F(n) of each compressor is calculated based on the following formula:
  • n is the serial number of the compressor
  • P is the probability of each compressor being selected
  • r is the number of times a compressor will be selected from the selectable compressors during the operation of the air-conditioning system
  • mod(1/P) represents the remainder obtained when the quotient of 1/P is rounded to an integer
  • G is the set of compressors that can be selected in the current selection, and then go to step 906.
  • the probability P of each compressor being selected is 1/(the total number of compressors that can be selected in the current selection).
  • r is 1.
  • r is 2.
  • the value of r can be obtained by analogy.
  • step 906 it is determined whether the random number of only one compressor is less than the threshold value F(n). If the random number of only one compressor is less than the threshold value F(n), the process proceeds to step 908. If the random number of not only one compressor is less than the threshold value F(n), the process proceeds to step 902 and re-executes the random selection steps 902, 904, and 906. When r does not change, step 904 may not be executed because the threshold value F(n) of each compressor calculated in step 904 does not change.
  • step 908 the compressor is selected, that is, only the random number of this compressor is less than the threshold value F(n), and then go to step 910 .
  • step 910 the operation of selecting the compressor ends.
  • r is counted independently in steps 404 and 412 of the initial loading process, in step 608 of the loading process, in step 706 of the holding process, and in step 808 of the load reduction process.
  • r is counted again.
  • the method of randomly selecting a compressor in the present application can make the wear of the compressor more uniform.
  • FIG10 shows a block diagram of a control system according to FIG1 .
  • the control system 103 includes a bus 1001, a processor 1002, a memory 1003, an input interface 1004, and an output interface 1005.
  • the processor 1002, the memory 1003, the input interface 1004, and the output interface 1005 are connected to the bus 1001.
  • the processor 1002 can read a program (or instruction) from the memory 1003 and execute the program (or instruction) to perform data processing and control functions of various components of the air conditioning system 101; the processor 1002 can also write data or a program (or instruction) into the memory 1003.
  • the memory 1003 can store programs (instructions) or data. By executing instructions in the memory 1003, the processor 1002 can control the memory 1003, the input interface 1004, and the output interface 1005.
  • the input interface 1004 is configured to receive the number of outdoor units set by the user through the connection line 133, receive the set indoor temperature from the user through the connection line 132, and receive the actual indoor temperature from the temperature detection device 108 through the connection line 116.
  • the input interface 1004 is configured to receive the accumulated operating time, preheating time, and restart interval time from the timing device 109 through the connection lines 117, 118, and 119, respectively, receive the fault signal from the fault detection device 110 through the connection line 120, and receive the compressor operating state signal from the operating state detection device 111 through the connection line 130.
  • the input interface 1004 is also configured to convert the received outdoor unit's horsepower, set indoor temperature, actual indoor temperature, accumulated operating time, preheating time, restart interval time, fault signal and compressor operating status signal into a signal recognizable by the processor 1002, and output the signal to the processor 1002.
  • the processor 1002 is configured to receive a program (or instruction) from the memory 1003 and execute the program (or instruction).
  • the processor 1002 When performing the initial loading process, the processor 1002 is configured to receive the number of outdoor units, the set indoor temperature, and the actual indoor temperature, execute the program (or instruction) to obtain the initial energy demand and distribute the energy demand, and output the control signal of each compressor to the output interface 1005.
  • the output interface 1005 is configured to receive the control signal of each compressor from the processor 1002, convert the control signal into an output signal suitable for each compressor, and send the output signal to the compressor through the connection line 131.
  • the processor 1002 When executing the judgment process, the processor 1002 is configured to receive the previous set indoor temperature, the actual indoor temperature and the current set indoor temperature, the actual indoor temperature, execute the program (or instruction) to obtain the energy demand correction value and perform the judgment process.
  • the processor 1002 When performing the loading, holding and unloading processes, the processor 1002 is configured to receive the accumulated operating time, the preheating time, the restart interval time, the fault signal and the compressor operating status signal, execute the program (or instruction) to distribute the energy demand, and output the control signal of each compressor to the output interface 1005.
  • the output interface 1005 is configured to receive the control signal of each compressor from the processor 1002, convert the control signal into an output signal suitable for each compressor, and send the output signal to the compressor through the connection line 131.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Human Computer Interaction (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

本申请提供了用于控制空调系统中的压缩机的方法和系统。该方法包括控制空调系统的N台压缩机在数个运行周期中运行。控制N台压缩机在数个运行周期中的一个运行周期中运行的方法包括为N台压缩机设定一个运行周期，为N台压缩机设定一个运行时间的阈值X，并在一个运行周期内，至少将N台压缩机全部加载并运行一遍。如果N台压缩机全部都被加载并且都累积运行阈值X的时间，则一个运行周期结束，进入下一运行周期。本申请使得在每个运行周期内多台压缩机都加载运行且运行相同的时间，从而在每个运行周期内多台压缩机都均衡地运行，从而所有压缩机在数个运行周期内都均衡地运行。因此，本申请能够实现压缩机的磨损均匀，延长空调系统的生命周期。

Description

控制空调系统中的压缩机的方法和装置 技术领域
本申请涉及空调系统，特别地涉及控制空调系统中的压缩机。
背景技术
随着人们生活质量的不断提高，空调的使用越来越普及。在空调系统中，对于多台变频压缩机能力分配的控制方法，直接影响到整个空调系统的能效，也影响到空调系统的温度调节的精度和稳定性。
发明内容
目前对于大多数空调系统，为了均衡空调系统中的多台压缩机的磨损，在加载压缩机时优先加载运行时间最短的压缩机。然而，实际压缩机的损耗在不同的负荷、不同的工况、不同的频率下是不一样的。因此，简单地通过时间来估算压缩机的磨损是不精确的。
本申请为空调系统中的多台压缩机设定数个运行周期，并控制这多台压缩机在数个运行周期中周期地运行。在一个运行周期内，使得多台压缩机全部都被加载并且都累积运行达预定的阈值时间，然后才控制压缩机在下一运行周期运行。在一个运行周期内，如果压缩机被加载且累积运行达预定的阈值时间后，则该压缩机被卸载且在该一个运行周期内不再被加载，而在下一运行周期可以重新被加载运行。这样能够使得在每个运行周期内多台压缩机全部都加载运行且运行相同的时间，从而在每个运行周期内多台压缩机全部都均衡地运行，从而使得所有压缩机在数个运行周期内都均衡地运行。因此，本申请能够实现压缩机的磨损均匀，延长空调系统的生命周期。
在一个运行周期内，如果多台压缩机中的当前未运行的压缩机全部都已被加载并且都已累积运行达预定的阈值时间，则一个运行周期中断，可以控制压缩机在下一运行周期运行。这样如果在一个运行周期内无可加载的压缩机，而空调系统当前需要加载压缩机时，则可以从下一运行周期的可加载的压缩机中选择压缩机进行加载。因此，本申请能够使得在满足压缩机周期运行的同时也满足空调系统的负荷需求，使空调系统正常运行。
根据本申请的第一个方面，本申请提供了一种用于控制空调系统中的压缩机的方法。空调系统包括N台压缩机。该方法控制N台压缩机在数个运行周期中运行。控制N台压缩机在数个运行周期中的一个运行周期中运行的方法包括以下步骤(A)、(B)、(C)和(D)。在步骤 (A)中，为N台压缩机设定一个运行周期。在步骤(B)中，为N台压缩机设定一个运行时间的阈值X。在步骤(C)中，在一个运行周期内，至少将N台压缩机全部加载并运行一遍。在步骤(D)中，在一个运行周期内，如果N台压缩机全部都被加载并且都累积运行阈值X的时间，则该一个运行周期结束，进入下一运行周期。其中，下一运行周期是数个运行周期中与该一个运行周期相邻且在该一个运行周期之后的一个运行周期。并且，在步骤(C)中根据空调系统的实际运行情况，执行以下步骤(1)、(2)和(3)。在步骤(1)中，如果需要增加空调系统的负荷，则对N台压缩机进行负荷分配以满足所需增加的负荷，并使N台压缩机以分配的负荷运行。在步骤(2)中，如果需要降低空调系统的负荷，则对N台压缩机进行负荷分配以满足所需降低的负荷，并使N台压缩机以分配的负荷运行。在步骤(3)中，如果满足空调系统的负荷，则使正在运行的压缩机保持运行。
根据本申请的第一个方面，在步骤(C)中还执行以下步骤：在一个运行周期内，如果N台压缩机中有压缩机被加载且累积运行阈值X的时间，则累积运行阈值X的时间的压缩机被卸载，并被配置为在该一个运行周期内不能被再次加载运行，而在下一运行周期内能够被加载运行。
根据本申请的第一个方面，在步骤(C)中还执行以下步骤：在一个运行周期内，如果N台压缩机中的当前未运行的压缩机全部都已被加载并且都已累积运行阈值X的时间，则该一个运行周期中断，进入下一运行周期。
根据本申请的第一个方面，在步骤(C)中还执行以下步骤：如果在先前一个运行周期中有可加载的压缩机，则获取先前一个运行周期中的运行参数并控制N台压缩机在先前一个运行周期内运行，否则控制N台压缩机继续在当前一个运行周期内运行，可加载的压缩机的累积运行时间小于阈值X。在步骤(C)中还执行以下步骤：如果在一个运行周期中N台压缩机中的当前未运行的压缩机全部都已被加载并且都已累积运行阈值X的时间，则该一个运行周期中断，进入下一运行周期并控制N台压缩机在下一个运行周期内运行，否则控制N台压缩机继续在该一个运行周期内运行。先前一个运行周期是数个运行周期中在一个运行周期之前的一个运行周期。
根据本申请的第一个方面，在步骤(C)的步骤(3)中，在满足空调系统的负荷而使正在运行的压缩机保持运行时，如果有压缩机的累积运行时间达到运行时间的阈值X，则执行以下步骤(3-1)和(3-2)。在步骤(3-1)中，从N台压缩机的可加载的压缩机中选择压缩 机，可加载的压缩机的累积运行时间小于阈值X。在步骤(3-2)中，用被选择的压缩机替换累积运行时间达到阈值X的压缩机来运行，以保持满足空调系统的负荷。
根据本申请的第一个方面，在步骤(3-2)中，用被选择的压缩机替换累积运行时间达到阈值X的压缩机。在步骤(3-2)中，在上述替换后，对除累积运行时间达到阈值X的压缩机之外的正在运行的压缩机和被选择的压缩机进行负荷分配以保持满足空调系统的负荷。在步骤(3-2)中，根据负荷分配方案将负荷分配至除累积运行时间达到阈值X的压缩机之外的正在运行的压缩机和被选择的压缩机。在步骤(3-2)中，使除累积运行时间达到阈值X的压缩机之外的正在运行的压缩机和被选择的压缩机以分配的负荷运行，并卸载累积运行时间达到阈值X的压缩机，从而保持满足空调系统的负荷。
根据本申请的第一个方面，在步骤(1)中，如果需要增加空调系统的负荷，则对N台压缩机中的正在运行的压缩机进行负荷分配以满足所需增加的负荷，在负荷分配后，执行以下步骤(1-1)和(1-2)。在步骤(1-1)中，如果分配后无压缩机的负荷率超过最高优化负荷率，则根据负荷分配方案将负荷分配至正在运行的压缩机，并使正在运行的压缩机以分配的负荷运行。在步骤(1-2)中，如果分配后有压缩机的负荷率超过最高优化负荷率，则从N台压缩机的可加载的压缩机中选择压缩机，以使得根据所需增加的负荷对正在运行的压缩机和被选择的压缩机进行负荷分配后无压缩机的负荷率超过最高优化负荷率。因此，根据负荷分配方案将负荷分配至正在运行的压缩机和被选择的压缩机，并使正在运行的压缩机和被选择的压缩机以分配的负荷运行。可加载的压缩机的累积运行时间小于阈值X。压缩机的负荷率为压缩机的实际负荷与最大负荷的比值。最高优化负荷率是压缩机处于优化负荷率区间中时最大的负荷率。
根据本申请的第一个方面，在步骤(2)中，如果需要降低空调系统的负荷，则对N台压缩机中的正在运行的压缩机进行负荷分配以满足所需降低的负荷，在负荷分配后，执行以下步骤(2-1)和(2-2)。在步骤(2-1)中，如果分配后无压缩机的负荷率超过最低优化负荷率，则根据负荷分配方案将负荷分配至正在运行的压缩机，并使正在运行的压缩机以分配的负荷运行。在步骤(2-2)中，如果分配后有压缩机的负荷率超过最低优化负荷率，则从正在运行的压缩机中选择压缩机，以使得根据所需降低的负荷对除被选择的压缩机之外的正在运行的压缩机进行负荷分配后无压缩机的负荷率超过最低优化负荷率。因此，根据负荷分配方案将负荷分配至除被选择的压缩机之外的正在运行的压缩机，使除被选择的压缩机之外的正 在运行的压缩机以分配的负荷运行，并卸载被选择的压缩机。压缩机的负荷率为压缩机的实际负荷与最大负荷的比值。最低优化负荷率是压缩机处于优化负荷率区间中时最小的负荷率。
根据本申请的第一个方面，选择压缩机的步骤包括从可被选择的压缩机中随机选择一台压缩机。在步骤(3-1)中，N台压缩机的可加载的压缩机为可被选择的压缩机。在步骤(1-2)中，N台压缩机的可加载的压缩机为可被选择的压缩机。在步骤(2-2)中，正在运行的压缩机为可被选择的压缩机。
根据本申请的第一个方面，从可被选择的压缩机中随机选择一台压缩机的步骤包括以下步骤(I)、(II)、(III)和(IV)。在步骤(I)中，为可被选择的压缩机中的每台压缩机随机产生一个0～1之间的随机数R。在步骤(II)中，基于以下公式分别计算每台压缩机的阈值F(n)，
其中，
n为压缩机的序号，
P为每台压缩机被选择的概率，概率为1/(当前次选择中可被选择的压缩机的总数)，
r为在空调系统的运行期间将要从可被选择的压缩机中选择出压缩机的次数，
mod(1/P)代表1/P的商取整时得到的余数，
G为当前次选择中可被选择的压缩机的集合。
在步骤(III)中，将每台压缩机的随机数R与阈值F(n)进行比较。
在步骤(IV)中，当只有一台压缩机的随机数小于阈值F(n)时，选择一台压缩机，否则重复步骤(I)、步骤(III)和步骤(IV)。在步骤(3-1)、步骤(1-2)和步骤(2-2)中，r被分别独立地计数。当空调系统被停止运行后又重新启动时，r被重新计数。
根据本申请的第一个方面，负荷分配的步骤包括进行负荷分配以使被分配有负荷的压缩机具有相同的负荷率。
根据本申请的第一个方面，在步骤(1)、步骤(2)和步骤(3)中，在根据负荷分配方案将负荷分配至压缩机的步骤之后，还执行如下步骤：如果被分配有负荷的正在运行的压缩机中有压缩机具有限制条件而不能改变负荷，则使具有限制条件的压缩机保持其运行状态，并使其他被分配负荷的压缩机以所分配的负荷运行。
根据本申请的第一个方面，当空调系统被停止运行后又重新启动时，获取所存储的空调系统被要求停止运行时所处的一个运行周期中的运行参数并控制N台压缩机继续在空调系统被要求停止运行时所处的一个运行周期中运行。
根据本申请的第一个方面，如果N台压缩机中有压缩机出现故障而被停止工作，则针对N台压缩机中除了出现故障的压缩机之外的压缩机，执行步骤(A)-(D)。
根据本申请的第一个方面，在步骤(C)中，根据空调控制单元的实际室内温度和设定室内温度之间的温差以及实际室内温度的温差变化率来获取空调系统的负荷需求。在步骤(C)中，根据所获取的空调系统的负荷需求来执行步骤(C)中的步骤(1)、步骤(2)或步骤(3)。空调系统用于向空调控制单元提供冷量和/或热量。空调系统的负荷需求包括需要增加空调系统的负荷、需要降低空调系统的负荷和满足空调系统的负荷。
根据本申请的第一个方面，在步骤(C)中，在先前一个时刻检测空调系统的先前实际室内温度和获取先前设定室内温度，并在当前一个时刻检测空调系统的当前实际室内温度和获取当前设定室内温度，其中从先前一个时刻到当前一个时刻经过时间t。在步骤(C)中，根据所检测的先前实际室内温度和所获取的先前设定室内温度的差值来获取先前室内温差，根据所检测的当前实际室内温度和所获取的当前设定室内温度的差值来获取当前室内温差，并根据当前室内温差相对于先前室内温差的差值除以时间t的结果来获取当前温差变化率。在步骤(C)中，根据当前室内温差和当前温差变化率来获取空调系统的负荷需求。在步骤(C)中，根据所获取的空调系统的负荷需求来执行步骤(C)中的步骤(1)、步骤(2)或步骤(3)。
根据本申请的第一个方面，在步骤(C)中，在步骤(1)之前执行以下步骤：如果初始启动空调系统，则从N台压缩机中选择一台或更多台压缩机，对被选择的压缩机进行负荷分配以满足空调系统的初始负荷需求，并使被选择的压缩机以分配的负荷运行。
根据本申请的第一个方面，初始负荷需求是根据空调控制单元的实际室内温度和设定室内温度而获取的。空调系统用于向空调控制单元提供冷量和/或热量。
根据本申请的第一个方面，至少基于以下各项来确定可加载的压缩机：压缩机的预热时间满足要求；压缩机当前未运行；压缩机的再启动间隔时间达到；以及压缩机无故障。
根据本申请的第二个方面，本申请提供了一种用于控制空调系统中的压缩机的系统。该系统包括检测系统和控制系统。检测系统与空调系统相连，且配置为检测空调系统的运行状况。控制系统与检测系统相连。控制系统包括处理器和存储器。控制系统被配置为基于检测系统所检测的空调系统的运行状况和控制输入来执行前述步骤来控制空调系中的压缩机的运行。
根据本申请的第二个方面，检测系统包括温度检测装置、计时装置、故障检测装置和运行状态检测装置。温度检测装置配置为检测空调控制单元的室内温度。计时装置被配置为检测N台压缩机的累积运行时间、预热时间和再启动间隔时间中的至少一者。故障检测装置被配置为检测N台压缩机是否出现故障。运行状态检测装置被配置为检测N台压缩机的运行状态。
附图说明
附图并不是按比例绘制的。在附图中，不同的图中所表示的每个相同或几乎相同的部件由相同的附图标记表示。出于清楚的目的，在每个附图中并非每个部件都可能加以标记。在附图中：
图1示出本申请的用于控制空调系统中的压缩机的系统的逻辑框图；
图2示出了控制图1中所示的空调系统中的N台压缩机的方法的流程框图；
图3示出了在空调系统被停止运行后又重新启动时控制图1中所示的空调系统中的N台压缩机的方法的流程框图；
图4A示出了图2和图3中所示的流程框图中的初始加载步骤的流程框图；
图4B示出了图4A的详细流程框图；
图4C示出了压缩机的负荷率与能效的关系示意图；
图5示出了图2和图3中所示的流程框图中的执行判断步骤的流程框图；
图6示出了图2和图3中所示的流程框图中的加载处理步骤的流程框图；
图7示出了图2和图3中所示的流程框图中的保持处理步骤的流程框图；
图8示出了图2和图3中所示的流程框图中的减载处理步骤的流程框图；
图9示出了图4A-图4B和图6-图8中所示的流程框图中的选择压缩机步骤的流程框图； 以及
图10示出了根据图1所示的控制系统的框图。
具体实施方式
下面将参考本说明书的附图对本申请的具体实施方式进行描述。应该理解的是，在可能的情况下，本申请中使用的相同或者相类似的附图标记指的是相同的部件。
图1示出本申请的用于控制空调系统中的压缩机的系统100的逻辑框图，以示出本申请的用于控制空调系统中的压缩机的系统的软件和硬件的主要功能模块。
如图1所示，本申请的用于控制空调系统中的压缩机的系统100包括空调系统101、检测系统102和控制系统103。空调系统101包括冷凝器104、膨胀阀105、蒸发器106和压缩机组107，其依次连接以提供冷热循环回路来输出冷量和热量。空调系统101能够向空调控制单元(未示出)提供冷量和/或热量。压缩机组107包括多台压缩机107.1，107.2，……107.N。在空调系统101工作时，多台压缩机107.1，107.2，……107.N在所需的运行频率下运行，以使得空调系统101向空调控制单元提供所需的冷量和/或热量。
检测系统102与空调系统101相连，且能够监测空调系统101的各个部件的操作参数。检测系统102还与控制系统103相连，且能够将所监测的空调系统101的操作参数发送至控制系统103。控制系统103能够根据所接收的空调系统101的操作参数来控制空调系统101的运行。
检测系统102包括温度检测装置108、计时装置109、故障检测装置110和运行状态检测装置111。温度检测装置108通过连接线112与空调系统101的回风口相连，以检测回风口处的温度，即空调控制单元的实际室内温度。计时装置109通过连接线113与压缩机组107相连，以检测压缩机组107中的多台压缩机107.1，107.2，……107.N的累积运行时间、预热时间、再启动间隔时间，等。故障检测装置110通过连接线114与压缩机组107相连，以检测压缩机组107中的多台压缩机107.1，107.2，……107.N出现的故障，并产生故障信号。运行状态检测装置111通过连接线115与压缩机组107相连，以检测压缩机组107中的多台压缩机107.1，107.2，……107.N的运行状态，并产生压缩机运行状态信号。在其他实施例中，检测系统102包括其他合适的装置和结构，以检测所需的系统参数。
控制系统103通过连接线116与温度检测装置108相连，以接收温度检测装置108所检测的实际室内温度。控制系统103通过连接线117、118、119与计时装置109相连，以接收 计时装置109所检测的累积运行时间、预热时间、再启动间隔时间等操作参数。在其他实施例中，连接线117、118、119合并成一根连接线。控制系统103通过连接线120与故障检测装置110相连，以接收故障检测装置110所检测的故障信号。控制系统103通过连接线130与运行状态检测装置111相连，以接收运行状态检测装置111所检测的压缩机运行状态信号。控制系统103还通过连接线132接收用户控制输入，例如，用户设定的室内温度，即设定室内温度。并且，控制系统103还通过连接线133接收用户控制输入，例如，用户设定的室外机的匹数。在其他实施例中，控制系统103通过其他合适的结构或方式获取所需的系统参数。
控制系统103能够根据所接收的实际室内温度、累积运行时间、预热时间、再启动间隔时间、故障信号、压缩机运行状态信号、设定室内温度和室外机的匹数等产生压缩机控制信号，以控制多台压缩机107.1，107.2，……107.N的运行。检测系统102还包括其他检测装置以检测空调系统101的其他操作参数，且能够将这些操作参数发送至控制系统103，以使得控制系统103基于这些操作参数产生其他控制信号，例如，冷凝器控制信号、膨胀阀控制信号、蒸发器控制信号等，以控制空调系统的正常运行。
图2示出了控制图1中所示的空调系统101中的N台压缩机107.1，107.2，……107.N的方法的流程框图200，以示出控制多台压缩机的一个实施例的具体操作。
如图2所示，在步骤202处，开始控制N台压缩机的操作，然后转到步骤204。
在步骤204中，为N台压缩机(即，压缩机107.1，107.2，……107.N)设定一个运行周期，然后转到步骤206。
在步骤206中，为N台压缩机(即，压缩机107.1，107.2，……107.N)设定一个运行时间的阈值X，然后转到步骤208。
在步骤208中，判断空调系统101是否是初始启动。如果空调系统101是初始启动，则转到步骤210。如果空调系统101不是初始启动，则转到步骤212。初始启动表明空调系统101从未运行到开始运行，空调系统101的各个部件开始运行。
在步骤210中，执行初始加载处理(见图4A-图4B)，然后转到步骤212。
在步骤212中，监督正在运行的空调系统101的运行状况，并获取空调系统101的运行参数，然后转到步骤214。
在步骤214中，判断等待时间是否达到。如果等待时间未达到，则继续等待，转到步骤 212，继续监督空调系统101的运行状况并获取空调系统101的运行参数。如果等待时间达到，则转到步骤216。该等待时间被设定用于使得空调系统101稳定运行一段时间，以便于后续步骤的处理。空调系统101稳定运行能够有利于后续步骤的执行，例如，执行步骤226的判断操作。在一个实施例中，该等待时间设定为30s。在其他实施例中，该等待时间设定为其他合适的时间。
在步骤216中，判断先前一个运行周期中是否有可加载的压缩机。如果先前一个运行周期中无可加载的压缩机，则转到步骤220，使得压缩机继续在当前一个运行周期中运行。如果先前一个运行周期中有可加载的压缩机，则转到步骤218，使得压缩机在先前一个运行周期中运行。在其他实施例中，使用其他合适的方式来判断是否使压缩机在先前一个运行周期中运行，以使得先前一个运行周期尽快运行完成。
在步骤220中，判断当前一个运行周期中未运行的压缩机的累积运行时间Tn是否都达到阈值X(Tn≥X)。如果当前一个运行周期中未运行的压缩机的累积运行时间Tn都达到阈值X，表明当前一个运行周期中无可加载的压缩机，则转到步骤222。在步骤222中，将累积运行时间Tn达到阈值X的压缩机的运行时间清零。在当前一个运行周期中无可加载的压缩机时，中断该当前一个运行周期，进入下一运行周期以使空调系统101能够正常运行。例如，在需要加载压缩机时，本申请能够在下一运行周期中加载压缩机，以在使压缩机周期运行的同时满足空调系统101正常运行所需的负荷。在步骤222之后转到步骤204，控制空调系统101中的压缩机开始在下一运行周期中运行。在其他实施例中，使用其他合适的方式来判断是否中断当前一个运行周期而进入下一运行周期，来使空调系统101能够正常运行。
在步骤220中，如果当前一个运行周期中有未运行的压缩机的累积运行时间Tn未达到阈值X，则转到步骤224，使压缩机继续在当前一个运行周期中运行。
在步骤224中，确定可加载的压缩机，然后转到步骤226。在一个实施例中，至少基于以下各项来从累积运行时间Tn未达到阈值X的压缩机中确定可加载的压缩机：压缩机的预热时间满足要求，压缩机当前未运行，压缩机的再启动间隔时间达到，以及压缩机无故障。例如，压缩机的再启动间隔为3分钟。本申请能够设置其他合适的压缩机的再启动间隔。在其他实施例中，使用其他合适的方式来确定可加载的压缩机。
在步骤226中，进行执行判断处理(见图5)，根据空调系统101的负荷需求判断执行加载处理、保持处理还是减载处理。如果需要增加空调系统101的负荷，则转到步骤228，执行加载处理(见图6)。如果满足空调系统101的负荷，则转到步骤230，执行保持处理(见 图7)。如果需要降低空调系统101的负荷，则转到步骤232，执行减载处理(见图8)。
在步骤228中执行加载处理后，转到步骤234。在步骤230中执行保持处理后，转到步骤234。在步骤232中执行减载处理后，转到步骤234。
在步骤234中，判断空调系统101是否需要停机(即，停止运行)。如果空调系统101需要停机，则转到步骤236，结束对压缩机的控制。如果空调系统101不需要停机，则转到步骤212，继续监督空调系统101的运行，实施后续操作。在一个实施例中，当用户无需空调系统101运行时，用户进行输入来控制空调系统101停机。在另一个实施例中，当检测到压缩机出现故障时，空调系统101被控制停机。在其他实施例中，基于其他合适的需求和/或使用其他合适的方式来控制空调系统101停机。在其他实施例中，如果N台压缩机中有压缩机出现故障而被停止工作，可以针对N台压缩机中除了出现故障的压缩机之外的压缩机继续运行，执行本申请的对压缩机的控制操作。
如前所述，在步骤216中，如果先前一个运行周期中有可加载的压缩机，则转到步骤218，使得压缩机在先前一个运行周期中运行。在步骤218中，进入未结束的该先前一个运行周期，获取所存储的与该先前一个运行周期相关的运行参数，然后转到步骤224。在步骤218后，在未结束的该先前一个运行周期中执行后续步骤(步骤224、226等)的操作。当在未结束的该先前一个运行周期中执行后续步骤的操作时，当前正在运行的压缩机保持其运行无需进行更改，而在需要加载压缩机时从该先前一个运行周期中的可加载的压缩机中选择压缩机加载。例如，在步骤218后转到步骤224，根据所获取的与该先前一个运行周期相关的运行参数确定在该先前一个运行周期中的可加载的压缩机。在步骤228中，在需要加载压缩机时，从未结束的该先前一个运行周期中的可加载的压缩机中选择压缩机加载(见图6)。在步骤230中，在需要加载压缩机来替换累积运行时间达到阈值时，从未结束的该先前一个运行周期中的可加载的压缩机中选择压缩机加载(见图7)。在先前一个运行周期未结束时，进入该先前一个运行周期，使得在需要加载压缩机时能够优先加载先前一个运行周期中的压缩机，从而优先结束先前一个运行周期。控制压缩机在当前一个运行周期中运行时优先结束先前一个运行周期，使得各个运行周期能够根据先后顺序来执行完成，从而实现压缩机的磨损均衡。
需要说明的是，图2中的上述步骤可以被合适的调整顺序、使用其他合适的步骤进行替换或增加合适的步骤，来实现本申请的控制空调系统101的N台压缩机的操作。
图3示出了在空调系统101被停止运行后又重新启动时控制图1中所示的空调系统101中的N台压缩机107.1，107.2，……107.N的方法的流程框图300，以示出控制多台压缩机的 一个实施例的具体操作。
图3中的控制空调系统101中的N台压缩机107.1，107.2，……107.N的方法的流程框图与图2中的控制空调系统101中的N台压缩机107.1，107.2，……107.N的方法的流程框图大致相同。图3中与图2中的标号相同的步骤所实施的具体操作与图2相同。不同的是，图3中的控制空调系统101中的N台压缩机107.1，107.2，……107.N的操作在步骤302处开始后转到步骤304，获取所存储的空调系统101被要求停止运行时所处的一个运行周期中的运行参数，并控制N台压缩机107.1，107.2，……107.N继续在空调系统101被要求停止运行时所处的一个运行周期中运行。然后由步骤304转到步骤208，继续后续步骤的操作。图3中的这些步骤是继续在空调系统101被要求停止运行时所处的暂停的一个运行周期中运行。
图4A示出了图2和图3中所示的流程框图中的初始加载处理步骤210的流程框图，以示出初始加载处理的一个实施例的具体操作。
如图4A所示，如果在图2和图3中的步骤208中空调系统101是初始启动，则转到步骤402，开始图2和图3中的初始加载处理210的操作。
在步骤402中，根据空调控制单元的实际室内温度和设定室内温度来获取空调系统101的初始负荷需求，然后转到步骤404。在一个实施例中，使用初始能需来指示空调系统101的初始负荷需求，其中初始能需与空调系统101中的N台压缩机的总运行频率对应。在其他实施例中，使用其他合适的参数来指示空调系统101的初始负荷需求。
在一个实施例中，基于空调系统101中的N台室外机的总匹数HP以及空调控制单元的实际室内温度和设定室内温度之间的温差来确定空调系统101的初始能需，其中每台室外机包括一台压缩机。在一个实施例中，通过如下公式获取初始能需：初始能需＝HP*A/2，其中，HP表示空调系统101的N台室外机的总匹数，A表示系数。空调控制单元的实际室内温度和设定室内温度Ts之间的温差不同时，该系数A也相应地不同(变化)。N台室外机的总匹数HP可以由用户设定并通过通讯方式由例如控制系统103获取。空调控制单元的实际室内温度可以使用空调系统101的回风温度Ta来获取。例如，在空调系统101的回风口处设置温度检测装置以检测回风温度Ta。空调控制单元的设定室内温度Ts可以通过用户的控制输入来获取。例如，用户通过遥控器输入所需的室内温度，即设定室内温度Ts，则控制系统103能够接收并存储该设定室内温度。
在一个实施例中，以下表格1示出空调控制单元的实际室内温度Ta和设定室内温度Ts之间的温差与系数A之间的关系：
表格1
其中，当Ta-Ts≧4时，A＝a；
当3≤Ta-Ts<4时，A＝b；
当2≤Ta-Ts<3时，A＝c；
当1≤Ta-Ts<2时，A＝d；
当0<Ta-Ts<1时，A＝e；以及
当Ta-Ts≤0时，A＝f。
并且其中，a＞b＞c＞d＞e＞f。
空调系统101的初始能需与空调系统101中的N台室外机的总运行频率对应，该总运行频率为各台室外机的运行频率之和。室外机的运行频率可以通过室外机中的压缩机的运行频率来指示。在一个实施例中，以下表格2示出空调系统101的能需与空调系统101中的一台压缩机的运行频率(其单位为HZ)的对应关系：
表格2
控制系统103还能够根据所分配的能需设定空调系统101的压缩机的电压以使压缩机在所需的运行频率下运行，从而使得空调系统101在所需的运行频率下运行。
在步骤404中，从N台压缩机107.1，107.2，……107.N中选择压缩机，然后转到步骤406。基于步骤402中所获取的空调系统101的初始能需来从N台压缩机107.1，107.2，……107.N中选择所需的压缩机。在一个实施例中，从N台压缩机107.1，107.2，……107.N中选择一台压缩机，该选择包括随机选择一台压缩机。在其他实施例中，从N台压缩机107.1，107.2，……107.N中选择合适数量的压缩机。
在步骤406中，对被选择的压缩机进行负荷分配以满足初始负荷需求，然后转到步骤408。在一个实施例中，基于所选择的压缩机来分配能需以满足所获取的空调系统101的初始能需。
在步骤408中，使被选择的压缩机以分配的负荷运行，然后转到图2和图3中的步骤212。在一个实施例中，基于步骤406中的分配方案将能需分配至所选择的压缩机。在操作中，为所选择的压缩机设定与所分配的能需对应的电压并使压缩机在该对应的电压下运行，以使压缩机以对应的所需运行频率运行。
图4B示出了图4A的详细流程框图，以示出图2和图3的流程框图中的初始加载处理步骤210的一个实施例的详细流程框图。
如图4B所示，如果在图2和图3中的步骤208中判断空调系统101是初始启动，则转到步骤410，开始图2和图3中的初始加载步骤210的操作。
在步骤410中，根据空调控制单元的实际室内温度和设定室内温度来获取初始负荷需求，然后转到步骤412。图4B中的步骤410与图4A中的步骤402相同。
在步骤412中，从可加载的压缩机中选择一台压缩机，然后转到步骤414。该选择包括随机选择一台压缩机。
在步骤414中，对被选择的压缩机进行负荷分配以满足初始负荷需求，然后转到步骤416。在一个实施例中，对被选择的压缩机进行能需分配以满足步骤410中所获取的空调系统101的初始能需。
在步骤416中，判断在步骤414中的负荷分配后是否有压缩机的负荷率超过最高优化负荷率。如果在步骤414中的负荷分配后有压缩机的负荷率超过最高优化负荷率，则转到步骤412，再选择一台压缩机进行负荷分配，即对先前所选择的一台压缩机和当前所选择的一台压 缩机进行负荷分配。如果累积选择了多台压缩机，则在进行负荷分配时使所选择的数台压缩机达到相同的负荷率，以满足所获取的空调系统101的初始能需。使所选择的多台压缩机达到相同的负荷率能够使得不同的压缩机实现均衡的磨损。压缩机的负荷率为压缩机的实际负荷与压缩机的最大负荷的比值。当使用能需来指示空调系统101的负荷需求时，压缩机的负荷率可以为压缩机的实际能需与压缩机的最大能需的比值。当选择了一台压缩机进行负荷分配时，使该压缩机在优化负荷率区间运行，从而使得空调系统101高能效地运行。重复步骤412和414，直至在步骤416中判断无压缩机的负荷率超过最高优化负荷率，则转到步骤418。
为N台压缩机中的每一台压缩机设置优化负荷率区间，该优化负荷率区间包括最低优化负荷率和最高优化负荷率。在该优化负荷率区间(即，最低优化负荷率和最高优化负荷率之间的区间)运行时，压缩机能够高能效地运行。本申请使得各台压缩机在其各自的优化负荷率区间内以相同的负荷率运行，从而使得各台压缩机的磨损均衡且空调系统101能够高能效地运行。在其他实施例中，使用其他合适的方式对各台压缩机进行分配负荷。
在步骤416中，如果在步骤414中的负荷分配后无压缩机的负荷率超过最高优化负荷率，则转到步骤418。
在步骤418中，使被选择的压缩机以分配的负荷运行，然后转到图2和图3中的步骤212。
图4C示出了压缩机的负荷率与能效的关系示意图，以示出压缩机的负荷率与能效之间的关系。
如图4C所示，对于N台压缩机，为N台压缩机(例如，变频压缩机)中的每一台压缩机设置优化负荷率区间(a，c)。在优化负荷率区间(a，c)内N台压缩机中的每一台压缩机的运行能效COP≥一个预定效能值COPtarget。在优化负荷率区间(a，c)，当压缩机的负荷率从负荷率a(最低优化负荷率)逐渐增加时，压缩机的运行能效COP从预定效能值COPtarget逐渐增加，直到压缩机的负荷率达到负荷率b，此时压缩机的运行能效COP达到最大运行能效COPMax。压缩机的负荷率从负荷率b继续逐渐增加时，压缩机的运行能效COP从最大运行能效COPMax开始逐渐减小，直到压缩机的负荷率达到负荷率c(最高优化负荷率)，此时压缩机的运行能效COP达到预定效能值COPtarget。当压缩机的负荷率低于负荷率a或高于负荷率c时，压缩机的运行能效COP低于预定效能值COPtarget。将压缩机的负荷率设定在优化负荷率区间(a，c)内，能够使得压缩机高能效地运行，从而使得空调系统101高能效地运行。步骤416中的最高优化负荷率为图4C所示的压缩机的优化负荷率c。例如，参见表格2，在一个实施例中，当压缩机的运行频率是30HZ(其对应能需是4)时，该压缩机达到最低优 化负荷率a(即，30/90≈0.33)，当压缩机的运行频率是60HZ(其对应能需是19)时，该压缩机达到最低优化负荷率c(即，60/90≈0.67)。在其他实施例中，压缩机在其他合适的运行频率和能需下具有最低优化负荷率a和最高优化负荷率c。
图5示出了图2和图3中所示的流程框图中的执行判断步骤226的流程框图，以示出执行判断的一个实施例的具体操作。
如图5所示，从图2和图3中的步骤224转到步骤502，开始执行判断226的操作。
在步骤502中，获取空调控制单元的实际室内温度和设定室内温度之间的温差和实际室内温度的温差变化率，然后转到步骤504。
在一个实施例中，在先前一个时刻检测空调控制单元的先前实际室内温度和获取空调控制单元的先前设定室内温度，并且在当前一个时刻检测空调控制单元的当前实际室内温度和获取空调控制单元的当前设定室内温度。从先前一个时刻到当前一个时刻经过时间t。根据所检测的先前实际室内温度和所获取的先前设定室内温度的差值来获取先前室内温差，根据所检测的当前实际室内温度和所获取的当前设定室内温度的差值来获取当前室内温差。并且，根据当前室内温差相对于先前室内温差的差值除以时间t的结果来获取当前温差变化率。
在步骤504中，根据温差和温差变化率获取空调系统的负荷需求，然后转到步骤506。在一个实施例中，根据步骤502中所获取的当前室内温差和当前温差变化率来获取空调系统101的能需修正值P。然后，根据所获取的空调系统101的能需修正值P来执行加载、保持和减载的判断处理。
在一个实施例中，基于以下表格3来获取空调系统101的能需修正值P：
表格3
在上述表格3中，△Ts表示当前室内温差，△W表示当前温差变化率，D为正数，N1为正数，N2、N3、N4和N5为负数，N1＞N2＞N3＞N4＞N5。上述表格中的数值，例如，+b、a、-b、-c等，表示能需修正值P，其中a＜b＜c＜d＜e＜f＜g＜h＜i＜j。
在其他实施例中，使用其他合适的表格或公式来获取空调系统101的能需修正值。
在步骤506中，判断能需修正值P是否大于零。如果能需修正值P大于零，则转到步骤228。在步骤228中，执行加载处理(见图6)，然后转到图2和图3中的步骤234。如果能需修正值P不大于零，则转到步骤508。
在步骤508中，判断能需修正值P是否等于零。如果能需修正值P等于零，则转到步骤230。在步骤230中，执行保持处理(见图7)，然后转到图2和图3中的步骤234。如果能需修正值P不等于零，则转到步骤232。在步骤232中，执行减载处理(见图8)，然后转到图2和图3中的步骤234。
在其他实施例中，使用其他合适的方式来执行判断处理以实施加载处理、保持处理或减载处理。
图6示出了图2和图3中所示的流程框图中的加载处理步骤228的流程框图，以示出加载处理的一个实施例的具体操作。
如图6所示，如果在图5中的步骤506中能需修正值P大于零，则转到步骤602，开始加载步骤228的操作。
在步骤602中，确定正在运行的压缩机，然后转到步骤604。
在步骤604中，对正在运行的压缩机进行负荷分配以满足所需增加的负荷，然后转到步骤606。在一个实施例中，对正在运行的压缩机进行负荷分配以使正在运行的压缩机达到相同的负荷率，来满足所需增加的负荷。在一个实施例中，对正在运行的压缩机进行能需分配以使正在运行的压缩机达到相同的负荷率，来满足大于零的能需修正值P。在一个实施例中，基于空调系统101的当前能需和大于零的能需修正值P之和来获取空调系统101的修正后的能需，从而对所需分配负荷的压缩机进行负荷分配以达到所获取的空调系统101的修正后的能需。
在步骤606中，判断在步骤604中的负荷分配后是否有压缩机的负荷率超过最高优化负荷率。如果在步骤604中的负荷分配后有压缩机的负荷率超过最高优化负荷率，则转到步骤608，从可加载的压缩机中选择一台压缩机，然后转到步骤610。在一个实施例中，判断在步骤604中的能需分配后是否有压缩机的负荷率超过最高优化负荷率。
在步骤610中，对所选择的压缩机和正在运行的压缩机进行负荷分配以满足所需增加的负荷，然后再转到步骤606，判断经过负荷分配后是否有压缩机的负荷率超过最高优化负荷率。在步骤610中进行负荷分配，以使得所选择的压缩机和正在运行的压缩机达到相同的负荷率。在一个实施例中，对所选择的压缩机和正在运行的压缩机进行能需分配以满足大于零的能需修正值P。由于进行负荷分配时使所选择的压缩机和正在运行的压缩机达到相同的负荷率，因此经过该负荷分配(例如，能需分配)后，被负荷分配的压缩机的负荷可能改变。
在步骤606中，如果经过负荷分配后无压缩机的负荷率超过最高优化负荷率，则转到步骤612。
在步骤612中，根据分配方案将负荷分配给各个压缩机，然后转到步骤614。在一个实施例中，根据分配方案将能需分配给各个压缩机。
在步骤614中，判断正在运行的压缩机中是否有压缩机具有限制条件。如果正在运行的压缩机中无压缩机具有限制条件，则转到步骤616。如果正在运行的压缩机中有压缩机具有限制条件，则转到步骤618。
在步骤616中，使各个压缩机以所分配的负荷运行，然后转到图2和图3中的步骤234。
在步骤618中，使具有限制条件的压缩机保持运行，并且其他压缩机以所分配的负荷运行，然后转到图2和图3中的步骤234。在一个实施例中，正在运行的压缩机可能具有限制条件而无法增加或降低负荷(例如，能需)，而是能够保持其运行状态运行。此时，即便在步骤612中分配了负荷(例如，能需)给具有限制条件的该压缩机，该压缩机也只是根据其自身情况保持运行而不增加或降低负荷(例如，能需)。本申请的该控制压缩机的方式能够简化对压缩机的逻辑控制。该控制压缩机的方式不会使得空调系统101无法满足其负荷需求，因为在后续步骤中还会继续监督并获取空调系统101的运行状态并判断是否再进行加载处理、保持处理还是减载处理。
本申请在加载处理时优先增加正在运行的压缩机的负荷率，在负荷率超过最高优化负荷率后再加载新的压缩机，从而使得空调系统101高能效地运行。
图7示出了图2和图3中所示的流程框图中的保持处理步骤230的流程框图，以示出保持处理的一个实施例的具体操作。
如图7所示，如果在图5中的步骤508中能需修正值P等于零，则转到步骤702，开始保持步骤230的操作。
在步骤702中，确定正在运行的压缩机，然后转到步骤704。
在步骤704中，判断是否有正在运行的压缩机累积运行时间Tn达到阈值X(即，Tn≥X)。如果有正在运行的压缩机累积运行时间达到阈值，则转到步骤706。如果正在运行的压缩机累积运行时间均未达到阈值，则转到图2和图3中的步骤234。
在步骤706中，从可加载的压缩机中选择压缩机，然后转到步骤708。在一个实施例中，从可加载的压缩机中选择一台压缩机，该选择包括随机选择一台压缩机。
在步骤708中，用被选择的压缩机替换累积运行时间达到阈值的压缩机，然后转到步骤710。
在步骤710中，对除累积运行时间达到阈值的压缩机之外的正在运行的压缩机和被选择的压缩机进行负荷分配以保持满足负荷需求，然后转到步骤712。由于被选择的压缩机和累积运行时间达到阈值的压缩机的性能(例如，最大负荷等)可能不同，因而需要重新分配负荷，以使所需分配负荷的各台压缩机达到相同的负荷率，从而均衡各台压缩机的磨损。经过重新分配负荷后，各台压缩机的负荷(例如，能需)可能改变。在一个实施例中，对除累积运行时间达到阈值的压缩机之外的正在运行的压缩机和被选择的压缩机进行能需分配以使被分配能需的压缩机达到相同的负荷率，来保持满足空调系统101的能需。
在步骤712中，根据分配方案将负荷分配给各台压缩机，然后转到步骤714。在一个实施例中，根据分配方案将能需分配给各台压缩机。
在步骤714中，判断正在运行的压缩机中是否有压缩机具有限制条件。如果正在运行的压缩机中无压缩机具有限制条件，则转到步骤716。如果正在运行的压缩机中有压缩机具有限制条件，则转到步骤718。
在步骤716中，使各个压缩机以所分配的负荷运行，并卸载累积运行时间达到阈值的压缩机，然后转到图2和图3中的步骤234。
在步骤718中，使具有限制条件的压缩机保持运行，并使其他压缩机以所分配的负荷运 行，卸载累积运行时间达到阈值的压缩机，然后转到图2和图3中的步骤234。在一个实施例中，正在运行的压缩机可能具有限制条件而无法增加或降低负荷(例如，能需)，而是能够保持其运行状态运行。此时，即便在步骤712中分配了负荷(例如，能需)给具有限制条件的该压缩机，该压缩机也只是根据其自身情况保持运行而不增加或降低负荷(例如，能需)。本申请的该控制压缩机的方式能够简化对压缩机的逻辑控制。该控制压缩机的方式不会使得空调系统101无法满足其负荷需求，因为在后续步骤中还会继续监督并获取空调系统101的运行状态并判断是否再进行加载处理、保持处理还是减载处理。
本申请在保持阶段对累积运行阈值X的压缩机进行轮值，例如，用其他压缩机替换累积运行阈值X的压缩机，从而使得N台压缩机的损耗更均匀。
图8示出了图2和图3中所示的流程框图中的减载处理步骤232的流程框图，以示出减载处理的一个实施例的具体操作。
如图8所示，如果在图5中的步骤508中能需修正值P不等于零，则转到步骤802，开始减载步骤232的操作。
在步骤802中，确定正在运行的压缩机，然后转到步骤804。
在步骤804中，对正在运行的压缩机进行负荷分配以满足所需降低的负荷，然后转到步骤806。在一个实施例中，对正在运行的压缩机进行负荷分配以使正在运行的压缩机达到相同的负荷率，来满足所需降低的负荷。在一个实施例中，对正在运行的压缩机进行能需分配以使正在运行的压缩机达到相同的负荷率，来满足小于零的能需修正值P。在一个实施例中，基于空调系统101的当前能需和小于零的能需修正值P之和来获取空调系统101的修正后的能需，从而对所需分配负荷的压缩机进行负荷分配以达到所获取的空调系统101的修正后的能需。
在步骤806中，判断在步骤804中的负荷分配后是否有压缩机的负荷率超过最低优化负荷率。如果在步骤804中的负荷分配后有压缩机的负荷率超过最低优化负荷率，则转到步骤808，从正在运行的压缩机中选择一台压缩机，然后转到步骤810。在一个实施例中，判断在步骤804中的能需分配后是否有压缩机的负荷率超过最低优化负荷率。
在步骤810中，对除所选择的压缩机之外的正在运行的压缩机进行负荷分配以满足所需降低的负荷，然后再转到步骤806，判断经过负荷分配后是否有压缩机的负荷率超过最低优化负荷率。由于被选择的压缩机将要被卸载，因此对除所选择的压缩机之外的正在运行的压 缩机进行负荷分配，该负荷分配考虑被选择卸载的压缩机所降低的负荷。在一个实施例中，对除所选择的压缩机之外的正在运行的压缩机进行能需分配以满足小于零的能需修正值P。基于空调系统101的当前能需和小于零的能需修正值P之和来获取空调系统101的修正后的能需，从而对所需分配负荷的压缩机进行负荷分配以达到所获取的空调系统101的修正后的能需。由于被选择的压缩机将要被卸载，因此该被选择的压缩机所降低的能需被增加至除所选择的压缩机之外的正在运行的压缩机中。换句话说，对被选择的压缩机分配等于零的能需，对除所选择的压缩机之外的正在运行的压缩机进行能需分配以达到空调系统101的修正后的能需。对除所选择的压缩机之外的正在运行的压缩机进行负荷分配以使分配负荷的压缩机达到相同的负荷率，从而均衡压缩机的磨损。
在步骤806中，如果经过负荷分配后无压缩机的负荷率超过最低优化负荷率，则转到步骤812。
在步骤812中，根据分配方案将负荷分配给各个压缩机，然后转到步骤814。
在步骤814中，判断正在运行的压缩机中是否有压缩机具有限制条件。如果正在运行的压缩机中无压缩机具有限制条件，则转到步骤816。如果正在运行的压缩机中有压缩机具有限制条件，则转到步骤818。
在步骤816中，使各个压缩机以所分配的负荷运行，并卸载所选择的压缩机，然后转到图2和图3中的步骤234。
在步骤818中，使具有限制条件的压缩机保持运行，使其他压缩机以所分配的负荷运行，并卸载所选择的压缩机，然后转到图2和图3中的步骤234。在一个实施例中，正在运行的压缩机可能具有限制条件而无法增加或降低负荷(例如，能需)，而是能够保持其运行状态运行。此时，即便在步骤812中分配了负荷(例如，能需)给具有限制条件的该压缩机，该压缩机也只是根据其自身情况保持运行而不增加或降低负荷(例如，能需)。本申请的该控制压缩机的方式能够简化对压缩机的逻辑控制。该控制压缩机的方式不会使得空调系统101无法满足其负荷需求，因为在后续步骤中还会继续监督并获取空调系统101的运行状态并判断是否再进行加载处理、保持处理还是减载处理。
本申请在减载处理时优先降低正在运行的压缩机的负荷率，在负荷率超过最低优化负荷率后再卸载压缩机，从而保证空调系统101的能效，使得空调系统101在较好的能效范围内运行。
本申请在初始加载处理、加载处理、保持处理和减载处理的操作中，对所需分配负荷的压缩机进行负荷分配以使被分配负荷的压缩机达到相同的负荷率，能够在控制空调系统101的N台压缩机的过程中进一步均衡压缩机的磨损。
图9示出了图4A-图4B和图6-图8中所示的流程框图中的选择压缩机步骤的流程框图，以示出选择压缩机的一个实施例的具体操作。
如图9所示，在步骤900处，开始选择(见步骤404，412，608，706，808)压缩机的操作，然后转到步骤902。该选择包括随机选择一台压缩机。
在步骤902中，根据随机算法为可被选择的压缩机中的每台压缩机产生一个0～1之间的随机数，然后转到步骤904。
在步骤904中，基于以下公式分别计算每台压缩机的阈值F(n)：
其中，n为压缩机的序号，P为每台压缩机被选择的概率，r为在空调系统的运行期间将要从可被选择的压缩机中选择出压缩机的次数，mod(1/P)代表1/P的商取整时得到的余数，G为当前次选择中可被选择的压缩机的集合，然后转到步骤906。每台压缩机被选择的概率P为1/(当前次选择中可被选择的压缩机的总数)。在初始(第一次)选择中，r为1。当选择出压缩机(见步骤908的执行)后，再进行下一次的压缩机选择时，r为2。以此类推可以得出r的数值。
在步骤906中，判断是否只有一台压缩机的随机数＜阈值F(n)。如果只有一台压缩机的随机数＜阈值F(n)，则转到步骤908。如果不是只有一台压缩机的随机数＜阈值F(n)，则转到步骤902，重新执行该随机选择的步骤902、904、906。当r不变时，可以不执行步骤904，因为步骤904中计算的每台压缩机的阈值F(n)不变。
在步骤908中，选择该台压缩机，即，仅有该台压缩机的随机数＜阈值F(n)，然后转到步骤910。
在步骤910中，结束选择压缩机的操作。
在初始加载处理的步骤404和412中，在加载处理的步骤608中，在保持处理的步骤706中，在减载处理的步骤808中，r被分别独立地计数。当空调系统101被停止运行后又重新启动时，r被重新计数。
本申请的该随机选择压缩机的方法相比于其他随机选择方法能够使得压缩机的磨损更均匀。
图10示出了根据图1所示的控制系统的框图。如图10所示，控制系统103包括总线1001、处理器1002、存储器1003、输入接口1004和输出接口1005。处理器1002、存储器1003、输入接口1004和输出接口1005连接到总线1001。处理器1002可以从存储器1003中读出程序(或指令)，并执行该程序(或指令)以执行对数据的处理以及对空调系统101的各个部件的控制功能；处理器1002还可以将数据或程序(或指令)写入存储器1003中。存储器1003可以存储程序(指令)或数据。通过执行存储器1003中的指令，处理器1002可以控制存储器1003、输入接口1004和输出接口1005。
输入接口1004被配置为通过连接线133接收由用户设定的室外机的匹数，通过连接线132接收来自用户的设定室内温度，并且通过连接线116接收来自温度检测装置108的实际室内温度。输入接口1004被配置为分别通过连接线117、118、119接收来自计时装置109的累积运行时间、预热时间和再启动间隔时间，通过连接线120接收来自故障检测装置110的故障信号，并通过连接线130接收来自运行状态检测装置111的压缩机运行状态信号。
输入接口1004还被配置为将所接收的室外机的匹数、设定室内温度、实际室内温度、累积运行时间、预热时间、再启动间隔时间、故障信号和压缩机运行状态信号转换成处理器1002可识别的信号，并将该信号输出至处理器1002。
处理器1002被配置为从存储器1003接收程序(或指令)，并执行该程序(或指令)。在执行初始加载处理时，处理器1002被配置为接收室外机的匹数、设定室内温度、实际室内温度，执行该程序(或指令)来获取初始能需并进行能需分配，并输出各台压缩机的控制信号至输出接口1005。输出接口1005被配置为从处理器1002接收各台压缩机的控制信号，将该控制信号转换为适合各台压缩机的输出信号，并通过连接线131向压缩机发送该输出信号。
在执行判断处理时，处理器1002被配置为接收先前的设定室内温度、实际室内温度和当前的设定室内温度、实际室内温度，执行该程序(或指令)来获取能需修正值并进行执行判断处理。
在执行加载、保持和减载处理时，处理器1002被配置为接收累积运行时间、预热时间、再启动间隔时间、故障信号和压缩机运行状态信号，执行该程序(或指令)来进行能需分配，并输出各台压缩机的控制信号至输出接口1005。输出接口1005被配置为从处理器1002接收各台压缩机的控制信号，将该控制信号转换为适合各台压缩机的输出信号，并通过连接线131向压缩机发送该输出信号。
尽管已经结合以上概述的实施例的实例描述了本申请，但是对于本领域中至少具有普通技术的人员而言，各种替代方案、修改、变化、改进和/或基本等同方案，无论是已知的或是现在或可以不久预见的，都可能是显而易见的。另外，本说明书中所描述的技术效果和/或技术问题是示例性而不是限制性的；所以本说明书中的披露可能用于解决其他技术问题和具有其他技术效果和/或可以解决其他技术问题。因此，如上陈述的本申请的实施例的实例旨在是说明性而不是限制性的。在不背离本申请的精神或范围的情况下，可以进行各种改变。因此，本申请旨在包括所有已知或较早开发的替代方案、修改、变化、改进和/或基本等同方案。

Claims (22)

  1. 一种用于控制空调系统中的压缩机的方法，所述空调系统包括N台压缩机，其特征在于，所述方法控制所述N台压缩机在数个运行周期中运行，控制所述N台压缩机在所述数个运行周期中的一个运行周期中运行的所述方法包括：
    (A)为所述N台压缩机设定一个运行周期；
    (B)为所述N台压缩机设定一个运行时间的阈值X；
    (C)在所述一个运行周期内，至少将所述N台压缩机全部加载并运行一遍，并在步骤(C)中执行如下步骤：
    根据所述空调系统的实际运行情况，执行以下步骤：
    (1)如果需要增加所述空调系统的负荷，则对所述N台压缩机进行负荷分配以满足所需增加的负荷，并使所述N台压缩机以分配的负荷运行；
    (2)如果需要降低所述空调系统的负荷，则对所述N台压缩机进行负荷分配以满足所需降低的负荷，并使所述N台压缩机以分配的负荷运行；以及
    (3)如果满足所述空调系统的负荷，则使正在运行的压缩机保持运行；以及
    (D)在所述一个运行周期内，如果所述N台压缩机全部都被加载并且都累积运行所述阈值X的时间，则所述一个运行周期结束，进入下一运行周期；
    其中，所述下一运行周期是所述数个运行周期中与所述一个运行周期相邻且在所述一个运行周期之后的一个运行周期。
  2. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(C)中还执行以下步骤：
    在所述一个运行周期内，如果所述N台压缩机中有压缩机被加载且累积运行所述阈值X的时间，则累积运行所述阈值X的时间的所述压缩机被卸载，并被配置为在所述一个运行周期内不能被再次加载运行，而在所述下一运行周期内能够被加载运行。
  3. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(C)中还执行以下步骤：
    在所述一个运行周期内，如果所述N台压缩机中的当前未运行的压缩机全部都已被加载并且都已累积运行所述阈值X的时间，则所述一个运行周期中断，进入所述下一运行周期。
  4. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(C)中还执行以下步骤：
    如果在先前一个运行周期中有可加载的压缩机，则获取所述先前一个运行周期中的运行参数并控制所述N台压缩机在所述先前一个运行周期内运行，否则控制所述N台压缩机继续在所述一个运行周期内运行，所述可加载的压缩机的累积运行时间小于所述阈值X；以及
    如果在所述一个运行周期中所述N台压缩机中的当前未运行的压缩机全部都已被加载并且都已累积运行所述阈值X的时间，则所述一个运行周期中断，进入所述下一运行周期并控制所述N台压缩机在所述下一个运行周期内运行，否则控制所述N台压缩机继续在所述一个运行周期内运行；
    其中，所述先前一个运行周期是所述数个运行周期中在所述一个运行周期之前的一个运行周期。
  5. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(C)的所述步骤(3)中，在满足所述空调系统的负荷而使正在运行的压缩机保持运行时，如果有压缩机的累积运行时间达到所述运行时间的阈值X，则执行以下步骤：
    (3-1)从所述N台压缩机的可加载的压缩机中选择压缩机，所述可加载的压缩机的累积运行时间小于所述阈值X；以及
    (3-2)用所述被选择的压缩机替换所述累积运行时间达到所述阈值X的所述压缩机来运行，以保持满足所述空调系统的负荷。
  6. 根据权利要求5所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(3-2)中，执行以下步骤：
    用所述被选择的压缩机替换所述累积运行时间达到所述阈值X的所述压缩机；
    在所述替换后，对除所述累积运行时间达到所述阈值X的所述压缩机之外的正在运行的压缩机和所述被选择的压缩机进行负荷分配以保持满足所述空调系统的负荷；
    根据负荷分配方案将负荷分配至除所述累积运行时间达到所述阈值X的所述压缩机之外的正在运行的压缩机和所述被选择的压缩机；以及
    使除所述累积运行时间达到所述阈值X的所述压缩机之外的正在运行的压缩机和所述被选择的压缩机以分配的负荷运行，并卸载所述累积运行时间达到所述阈值X的所述压缩机，从而保持满足所述空调系统的负荷。
  7. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(1)中，如果需要增加所述空调系统的负荷，则对所述N台压缩机中的正在运行的压缩机进行负荷分配以满足所需增加的负荷，在所述负荷分配后，执行以下步骤：
    (1-1)如果分配后无压缩机的负荷率超过最高优化负荷率，则根据负荷分配方案将负荷分配至所述正在运行的压缩机，并使所述正在运行的压缩机以分配的负荷运行；以及
    (1-2)如果分配后有压缩机的负荷率超过最高优化负荷率，则从所述N台压缩机的可加载的压缩机中选择压缩机，以使得根据所需增加的负荷对所述正在运行的压缩机和所述被选择的压缩机进行负荷分配后无压缩机的负荷率超过最高优化负荷率，从而根据负荷分配方案将负荷分配至所述正在运行的压缩机和所述被选择的压缩机，并使所述正在运行的压缩机和所述被选择的压缩机以分配的负荷运行，所述可加载的压缩机的累积运行时间小于所述阈值X；
    其中，所述压缩机的负荷率为所述压缩机的实际负荷与最大负荷的比值；以及
    所述最高优化负荷率是所述压缩机处于优化负荷率区间中时最大的负荷率。
  8. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(2)中，如果需要降低所述空调系统的负荷，则对所述N台压缩机中的正在运行的压缩机进行负荷分配以满足所需降低的负荷，在所述负荷分配后，执行以下步骤：
    (2-1)如果分配后无压缩机的负荷率超过最低优化负荷率，则根据负荷分配方案将负荷分配至所述正在运行的压缩机，并使所述正在运行的压缩机以分配的负荷运行；以及
    (2-2)如果分配后有压缩机的负荷率超过最低优化负荷率，则从所述正在运行的压缩机中选择压缩机，以使得根据所需降低的负荷对除所述被选择的压缩机之外的正在运行的压缩机进行负荷分配后无压缩机的负荷率超过最低优化负荷率，从而根据负荷分配方案将负荷分配至除所述被选择的压缩机之外的正在运行的压缩机，使除所述被选择的压缩机之外的正在运行的压缩机以分配的负荷运行，并卸载所述被选择的压缩机；
    其中，所述压缩机的负荷率为所述压缩机的实际负荷与最大负荷的比值；以及
    所述最低优化负荷率是所述压缩机处于优化负荷率区间中时最小的负荷率。
  9. 根据权利要求5-8中任一项所述的用于控制空调系统中的压缩机的方法，其特征在于：
    所述选择压缩机的步骤包括从可被选择的压缩机中随机选择一台压缩机；
    其中，在所述步骤(3-1)中，所述N台压缩机的所述可加载的压缩机为所述可被选择的压缩机；
    在所述步骤(1-2)中，所述N台压缩机的所述可加载的压缩机为所述可被选择的压缩机；以及
    在所述步骤(2-2)中，所述正在运行的压缩机为所述可被选择的压缩机。
  10. 根据权利要求9所述的用于控制空调系统中的压缩机的方法，其特征在于，所述从可被选择的压缩机中随机选择一台压缩机的步骤包括：
    (I)为所述可被选择的压缩机中的每台压缩机随机产生一个0～1之间的随机数R；
    (II)基于以下公式分别计算所述每台压缩机的阈值F(n)，
    其中，
    n为压缩机的序号，
    P为所述每台压缩机被选择的概率，所述概率为1/(当前次选择中所述可被选择的压缩机的总数)，
    r为在所述空调系统的运行期间将要从所述可被选择的压缩机中选择出压缩机的次数，
    mod(1/P)代表1/P的商取整时得到的余数，
    G为当前次选择中所述可被选择的压缩机的集合；
    (III)将所述每台压缩机的随机数R与所述阈值F(n)进行比较；以及
    (IV)当只有一台压缩机的随机数小于所述阈值F(n)时，选择所述一台压缩机，否则重复所述步骤(I)、所述步骤(III)和所述步骤(IV)，
    其中，在所述步骤(3-1)、所述步骤(1-2)和所述步骤(2-2)中，r被分别独立地计数；以及
    当所述空调系统被停止运行后又重新启动时，r被重新计数。
  11. 根据权利要求6-8中任一项所述的用于控制空调系统中的压缩机的方法，其特征在于：
    所述负荷分配的步骤包括进行负荷分配以使被分配有负荷的压缩机具有相同的负荷率。
  12. 根据权利要求6-8中任一项所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(1)、所述步骤(2)和所述步骤(3)中，在根据所述负荷分配方案将负荷分配至压缩机的步骤之后，还执行如下步骤：
    如果被分配有负荷的正在运行的压缩机中有压缩机具有限制条件而不能改变负荷，则使所述具有限制条件的压缩机保持其运行状态，并使其他被分配负荷的压缩机以所分配的负荷运行。
  13. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于，所述方法包括：
    当所述空调系统被停止运行后又重新启动时，获取所存储的所述空调系统被要求停止运行时所处的一个运行周期中的运行参数并控制所述N台压缩机继续在所述空调系统被要求停止运行时所处的一个运行周期中运行。
  14. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于：
    如果所述N台压缩机中有压缩机出现故障而被停止工作，则针对所述N台压缩机中除了所述出现故障的压缩机之外的压缩机，执行所述步骤(A)-(D)。
  15. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(C)中执行如下步骤：
    根据空调控制单元的实际室内温度和设定室内温度之间的温差以及所述实际室内温度的温差变化率来获取所述空调系统的负荷需求；以及
    根据所获取的所述空调系统的负荷需求来执行所述步骤(C)中的所述步骤(1)、所述步骤(2)或所述步骤(3)；
    其中，所述空调系统用于向所述空调控制单元提供冷量和/或热量；以及
    所述空调系统的负荷需求包括需要增加所述空调系统的负荷、需要降低所述空调系统的负荷和满足所述空调系统的负荷。
  16. 根据权利要求15所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(C)中执行如下步骤：
    在先前一个时刻检测所述空调系统的先前实际室内温度和获取先前设定室内温度，并在当前一个时刻检测所述空调系统的当前实际室内温度和获取当前设定室内温度，其中从所述先前一个时刻到所述当前一个时刻经过时间t；
    根据所检测的先前实际室内温度和所获取的先前设定室内温度的差值来获取先前室内温差，根据所检测的当前实际室内温度和所获取的当前设定室内温度的差值来获取当前室内温差，并根据所述当前室内温差相对于所述先前室内温差的差值除以所述时间t的结果来获取当前温差变化率；
    根据所述当前室内温差和所述当前温差变化率来获取所述空调系统的所述负荷需求；以及
    根据所获取的所述空调系统的负荷需求来执行所述步骤(C)中的所述步骤(1)、所述步骤(2)或所述步骤(3)。
  17. 根据权利要求1所述的用于控制空调系统中的压缩机的方法，其特征在于，在所述步骤(C)中，在所述步骤(1)之前执行以下步骤：
    如果初始启动所述空调系统，则从所述N台压缩机中选择一台或更多台压缩机，对所述被选择的压缩机进行负荷分配以满足所述空调系统的初始负荷需求，并使所述被选择的压缩机以分配的负荷运行。
  18. 根据权利要求17所述的用于控制空调系统中的压缩机的方法，其特征在于:
    所述初始负荷需求是根据空调控制单元的实际室内温度和设定室内温度而获取的；
    其中，所述空调系统用于向所述空调控制单元提供冷量和/或热量。
  19. 根据权利要求4-7中任一项所述的方法，其特征在于，至少基于以下各项来确定所述可加载的压缩机：
    (a)压缩机的预热时间满足要求；
    (b)压缩机当前未运行；
    (c)压缩机的再启动间隔时间达到；以及
    (d)压缩机无故障。
  20. 一种空调控制系统，其特征在于，所述空调控制系统包括：
    控制系统(103)，所述控制系统包括处理器(802)和存储器(803)，所述控制系统(103)被配置为执行权利要求1-19中的步骤来控制空调系统(101)中的压缩机(107.1,107.2……107.N)的运行。
  21. 一种用于控制空调系统中的压缩机的系统(100)，其特征在于，所述系统(100)包括：
    检测系统(102)，所述检测系统(102)与空调系统(101)相连，所述检测系统(102)被配置为检测所述空调系统(101)的运行状况；以及
    控制系统(103)，所述控制系统(103)与所述检测系统(102)相连，所述控制系统(103)包括处理器(802)和存储器(803)，所述控制系统(103)被配置为基于所述检测系统(102)所检测的所述空调系统(101)的运行状况和控制输入来执行权利要求1-19中的步骤来控制所述空调系统(101)中的压缩机(107.1,107.2……107.N)的运行。
  22. 根据权利要求21所述的系统(100)，其特征在于，所述检测系统(102)包括：
    温度检测装置(108)，所述温度检测装置(108)配置为检测空调控制单元的室内温度；
    计时装置(109)，所述计时装置(109)被配置为检测所述N台压缩机(107.1,107.2……107.N)的累积运行时间、预热时间和再启动间隔时间中的至少一者；
    故障检测装置(110)，所述故障检测装置(110)被配置为检测所述N台压缩机(107.1,107.2……107.N)是否出现故障；以及
    运行状态检测装置(111)，所述运行状态检测装置(111)被配置为检测所述N台压缩机(107.1,107.2……107.N)的运行状态。
PCT/CN2024/073001 2023-01-20 2024-01-18 控制空调系统中的压缩机的方法和装置 Ceased WO2024153181A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202310088771.XA CN116242007B (zh) 2023-01-20 2023-01-20 控制空调系统中的压缩机的方法和装置
CN202310088771.X 2023-01-20

Publications (1)

Publication Number Publication Date
WO2024153181A1 true WO2024153181A1 (zh) 2024-07-25

Family

ID=86634353

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2024/073001 Ceased WO2024153181A1 (zh) 2023-01-20 2024-01-18 控制空调系统中的压缩机的方法和装置

Country Status (2)

Country Link
CN (1) CN116242007B (zh)
WO (1) WO2024153181A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116242007B (zh) * 2023-01-20 2026-04-17 约克广州空调冷冻设备有限公司 控制空调系统中的压缩机的方法和装置

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102032647A (zh) * 2010-12-08 2011-04-27 海尔集团公司 磁悬浮多机头中央空调负荷分配系统及方法
CN102109207A (zh) * 2009-12-24 2011-06-29 东莞市广大制冷有限公司 多压缩机空调控制方法及系统
CN103233893A (zh) * 2013-04-26 2013-08-07 青岛奥利凯中央空调有限公司 多机头螺杆压缩机容量调节控制方法
CN104406339A (zh) * 2013-11-12 2015-03-11 江苏春兰动力制造有限公司 一种单螺杆压缩机无级能量调节控制方法
CN105605842A (zh) * 2015-12-28 2016-05-25 重庆美的通用制冷设备有限公司 多模块机组的控制方法
CN111059733A (zh) * 2019-12-31 2020-04-24 Tcl空调器(中山)有限公司 压缩机组控制方法及装置
CN116242007A (zh) * 2023-01-20 2023-06-09 约克广州空调冷冻设备有限公司 控制空调系统中的压缩机的方法和装置

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100667205B1 (ko) * 2005-05-13 2007-01-12 삼성전자주식회사 멀티형 공기조화기의 그 제어방법
KR101243224B1 (ko) * 2006-01-10 2013-03-13 삼성전자주식회사 공기조화기의 운전제어방법
CN106196788B (zh) * 2016-07-14 2020-05-26 海信（山东）空调有限公司 空调压缩机的频率控制方法和装置
CN108626923B (zh) * 2017-03-15 2021-10-22 约克广州空调冷冻设备有限公司 一种空调系统的控制结构以及控制方法
CN108444137B (zh) * 2018-03-23 2020-06-26 天津商业大学 双级压缩热泵系统的运行控制方法及热泵系统
CN113883689B (zh) * 2021-10-22 2023-03-10 青岛海信日立空调系统有限公司 一种空调系统

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102109207A (zh) * 2009-12-24 2011-06-29 东莞市广大制冷有限公司 多压缩机空调控制方法及系统
CN102032647A (zh) * 2010-12-08 2011-04-27 海尔集团公司 磁悬浮多机头中央空调负荷分配系统及方法
CN103233893A (zh) * 2013-04-26 2013-08-07 青岛奥利凯中央空调有限公司 多机头螺杆压缩机容量调节控制方法
CN104406339A (zh) * 2013-11-12 2015-03-11 江苏春兰动力制造有限公司 一种单螺杆压缩机无级能量调节控制方法
CN105605842A (zh) * 2015-12-28 2016-05-25 重庆美的通用制冷设备有限公司 多模块机组的控制方法
CN111059733A (zh) * 2019-12-31 2020-04-24 Tcl空调器(中山)有限公司 压缩机组控制方法及装置
CN116242007A (zh) * 2023-01-20 2023-06-09 约克广州空调冷冻设备有限公司 控制空调系统中的压缩机的方法和装置

Also Published As

Publication number Publication date
CN116242007A (zh) 2023-06-09
CN116242007B (zh) 2026-04-17

Similar Documents

Publication Publication Date Title
CN108489150B (zh) 一种多联机回油控制方法及系统
CN106969473B (zh) 一种空调机组控制方法
CN107655245B (zh) 一种磁悬浮离心式空调机组负荷均衡控制方法及系统
CN112611033A (zh) 冷水机组及其控制方法、存储介质、控制装置
CN113432354B (zh) 空气源热泵控制方法、装置、空气源热泵和存储介质
CN110186149B (zh) 运行控制方法、控制装置、空调器和计算机可读存储介质
WO2024153181A1 (zh) 控制空调系统中的压缩机的方法和装置
CN109489199B (zh) 空调系统的控制方法、装置、系统及存储介质
CN102032139A (zh) 用于调节磁悬浮压缩机能量的系统及方法
CN112178992B (zh) 一种化霜控制方法、装置及制热机组
CN111102691B (zh) 模块组合空调系统
JP6871776B2 (ja) 冷凍システムおよび冷凍システムの制御方法
CN112611091A (zh) 多联机空调及其控制方法
AU2023301836B2 (en) Method and apparatus for controlling multi-module water chilling unit
CN114963296A (zh) 取暖设备控制方法和控制装置
CN111981642A (zh) 热泵空调系统模块机组的能量调节控制方法
US10655879B2 (en) Air-conditioning system, air-conditioning control method, and non-transitory computer readable medium storing program
CN112665153A (zh) 制冷系统供冷量的控制方法、装置、控制器和制冷系统
CN113266924B (zh) 一种压缩机的控制方法及控制装置
CN110542191B (zh) 运行控制方法、运行控制装置、空调器和存储介质
US10883748B2 (en) Method for controlling a compressor system
CN113266923B (zh) 一种压缩机的控制方法及控制装置
CN113639409A (zh) 空调系统的电子膨胀阀开度调节控制方法及装置、介质
CN117450623B (zh) 压缩机频率控制方法及空调机组
CN110542184B (zh) 运行控制方法、运行控制装置、空调器和存储介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 24744353

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 24744353

Country of ref document: EP

Kind code of ref document: A1